Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts | Paper Citation Record

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This paper cites Messenger-rna-binding proteins and the messages they carry,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Messenger-rna-binding proteins and the messages they carry,

Reference 1

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Observation 2f9de171-77c8-4790-89a5-dbc71fe4f5d1 · outbound

This paper cites Modeling the specificity of protein-dna interactions,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Modeling the specificity of protein-dna interactions,

Reference 2

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Observation c6fd10ad-bf71-4ec6-a238-0f94c0a9e946 · outbound

This paper cites Transcription factor–dna binding: beyond binding site motifs,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Transcription factor–dna binding: beyond binding site motifs,

Reference 3

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This paper cites an unresolved cited work.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Unresolved cited work

Reference 4

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This paper cites Vijayvargiya and P.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Vijayvargiya and P

Reference 5

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This paper cites Fast and exact quantification of motif occurrences in biological sequences,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Fast and exact quantification of motif occurrences in biological sequences,

Reference 6

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Observation 4fcf0880-e709-4953-b4bb-1b7a61bda5e0 · outbound

This paper cites Deep neural networks identify sequence context features predictive of PREPRINT 15 transcription factor binding,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Deep neural networks identify sequence context features predictive of PREPRINT 15 transcription factor binding,

Reference 7

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This paper cites Locating transcription factor binding sites by fully convolutional neural network,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Locating transcription factor binding sites by fully convolutional neural network,

Reference 8

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Observation c0e81e0b-3d17-440f-a812-93e399eab3eb · outbound

This paper cites maxatac: Genome-scale transcription-factor binding prediction from atac-seq with deep neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts maxatac: Genome-scale transcription-factor binding prediction from atac-seq with deep neural networks,

Reference 9

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This paper cites Predicting the sequence specificities of dna- and rna-binding proteins by deep learning,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Predicting the sequence specificities of dna- and rna-binding proteins by deep learning,

Reference 10

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Observation 69ad7b1b-ce83-4db0-b98d-ba94f0dd14a5 · outbound

This paper cites Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities,

Reference 11

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Observation a9b9388b-8e83-4213-afb5-7a4f453b1a68 · outbound

This paper cites Modeling genome data using bidirectional lstm,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Modeling genome data using bidirectional lstm,

Reference 12

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This paper cites Splice-site identification for exon prediction using bidirectional lstm-rnn approach,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Splice-site identification for exon prediction using bidirectional lstm-rnn approach,

Reference 13

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This paper cites Explainable deep neural networks for novel viral genome prediction,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainable deep neural networks for novel viral genome prediction,

Reference 14

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This paper cites DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,

Reference 15

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This paper cites Robust explainability: A tutorial on gradient-based attribution methods for deep neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Robust explainability: A tutorial on gradient-based attribution methods for deep neural networks,

Reference 16

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This paper cites Evalattai: A holistic approach to evaluating attribution maps in robust and non-robust models,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Evalattai: A holistic approach to evaluating attribution maps in robust and non-robust models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:38.309486Z

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This paper cites Ancona, E.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Ancona, E

Reference 18

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Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Unresolved cited work

Reference 19

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This paper cites Jaspar 2022: The 9th release of the open-access database of transcription factor binding profiles,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Jaspar 2022: The 9th release of the open-access database of transcription factor binding profiles,

Reference 20

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This paper cites Loss of bright/arid3a function promotes developmental plasticity,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Loss of bright/arid3a function promotes developmental plasticity,

Reference 21

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This paper cites Regulation of the master regulator foxm1 in cancer,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Regulation of the master regulator foxm1 in cancer,

Reference 22

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This paper cites Gata factor mutations in hematologic disease,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Gata factor mutations in hematologic disease,

Reference 23

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This paper cites Acquired and germline predisposition to bone marrow failure: Diagnostic features and clinical implications,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Acquired and germline predisposition to bone marrow failure: Diagnostic features and clinical implications,

Reference 24

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This paper cites The encyclopedia of dna elements (encode): Data portal update,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts The encyclopedia of dna elements (encode): Data portal update,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:38.160470Z

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This paper cites A user’s guide to the encyclopedia of dna elements (encode),.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts A user’s guide to the encyclopedia of dna elements (encode),

Reference 26

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This paper cites Chip-seq: welcome to the new frontier,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Chip-seq: welcome to the new frontier,

Reference 27

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This paper cites Chip–seq: advantages and challenges of a maturing technol- ogy,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Chip–seq: advantages and challenges of a maturing technol- ogy,

Reference 28

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This paper cites Mixture of experts explained,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Mixture of experts explained,

Reference 29

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This paper cites Adaptive mixtures of local experts,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Adaptive mixtures of local experts,

Reference 30

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This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Learning Factored Representations in a Deep Mixture of Experts

Reference 31

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This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 32

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This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 33

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Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 34

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This paper cites Microsoft coco: Common objects in context,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Microsoft coco: Common objects in context,

Reference 35

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This paper cites Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,

Reference 36

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This paper cites From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI

Reference 37

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This paper cites Learning important features through propagating activation differences,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Learning important features through propagating activation differences,

Reference 38

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This paper cites Explainability in transformer models for functional genomics,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainability in transformer models for functional genomics,

Reference 39

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Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainability methods for graph convolutional neural networks,

Reference 40

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This paper cites Visualizing the impact of feature attribution baselines,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Visualizing the impact of feature attribution baselines,

Reference 41

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This paper cites Transformer interpretability beyond attention visualization,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Transformer interpretability beyond attention visualization,

Reference 42

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Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts A unified approach to interpreting model predictions,

Reference 43

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This paper cites Peeking inside the black-box: a survey on explainable artificial intelligence (xai),.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Peeking inside the black-box: a survey on explainable artificial intelligence (xai),

Reference 44

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Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Deep inside convolutional networks: visualising image classification models and saliency maps,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.849062Z

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This paper cites Transformers in time-series analysis: A tutorial,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Transformers in time-series analysis: A tutorial,

Reference 46

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This paper cites SmoothGrad: removing noise by adding noise.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts SmoothGrad: removing noise by adding noise

Reference 47

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This paper cites Secure and robust machine learning for healthcare: A survey,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Secure and robust machine learning for healthcare: A survey,

Reference 48

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This paper cites A survey on efficient methods for adversarial robustness,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts A survey on efficient methods for adversarial robustness,

Reference 49

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This paper cites Recent Advances in Adversarial Training for Adversarial Robustness.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Recent Advances in Adversarial Training for Adversarial Robustness

Reference 50

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This paper cites Extended variational inference for propagating uncertainty in convolutional neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Extended variational inference for propagating uncertainty in convolutional neural networks,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.759641Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3748cd64-88fa-4d56-bdc1-7a7c881f31b1 · outbound

This paper cites Premium-cnn: Propagating uncertainty towards ro- bust convolutional neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Premium-cnn: Propagating uncertainty towards ro- bust convolutional neural networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.742289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ecdfa1ae-675d-4770-aa14-e1d17068d42a · outbound

This paper cites Robustness may be at odds with accuracy,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Robustness may be at odds with accuracy,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.724641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50967a3c-a44d-4826-a32f-2efdd06471c8 · outbound

This paper cites How explainable are adversarially-robust CNNs?.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts How explainable are adversarially-robust CNNs?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:37.003248Z

Source-reported events for the cited work

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Observation 8bf4093b-1b63-4442-a378-2b301785e887 · outbound

This paper cites Inter- pretable attention model in transcription factor binding site prediction with deep neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Inter- pretable attention model in transcription factor binding site prediction with deep neural networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.707079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39c01887-de55-4283-bdb8-3a1e584ef667 · outbound

This paper cites Predicting effects of noncoding variants with deep learning–based sequence model,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Predicting effects of noncoding variants with deep learning–based sequence model,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.689860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c4e6393-0165-434e-85f7-7cc173f78e9e · outbound

This paper cites Mixture-of-experts approach for enhanced drug-target interaction prediction and confidence assessment,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Mixture-of-experts approach for enhanced drug-target interaction prediction and confidence assessment,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.671869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 458decaa-6e0a-4bb2-b326-b282c334b414 · outbound

This paper cites Improving language model of human genome for dna–protein binding prediction based on task-specific pre-training,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Improving language model of human genome for dna–protein binding prediction based on task-specific pre-training,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.655282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 173b9860-ad75-45ad-a7b5-c89fced28afb · outbound

This paper cites Axiomatic attribution for deep networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Axiomatic attribution for deep networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.639377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86d97b66-295a-4422-82a0-a58abcf28d55 · outbound

This paper cites Explainable models using transcription factor binding and epigenome patterns at promoters reveal disease-associated genes and their regulators in the context of cell-types,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainable models using transcription factor binding and epigenome patterns at promoters reveal disease-associated genes and their regulators in the context of cell-types,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.621417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 992eae83-4321-42e8-8c50-436a07743acf · outbound

This paper cites The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.482864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5922b3ad-68f2-47ed-8eeb-13433ce54aef · outbound

This paper cites Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.464669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20c55641-1bf2-45d5-8fd5-ee8f61f7279f · outbound

This paper cites Deep neural networks for interpreting rna- binding protein target preferences,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Deep neural networks for interpreting rna- binding protein target preferences,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.445848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 739f484f-d4f0-4625-bddb-3259abc7034d · outbound

This paper cites Sequential regulatory activity prediction across chromosomes with convolutional neural networks,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Sequential regulatory activity prediction across chromosomes with convolutional neural networks,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.424046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ae96ca9-0c27-48a0-91e5-6009ba6c8a98 · outbound

This paper cites Base-resolution models of transcription factor binding reveal soft motif syntax,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Base-resolution models of transcription factor binding reveal soft motif syntax,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.406057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0994dc70-05c5-451a-80a8-8c44ce83a8ed · outbound

This paper cites Edeepssp: Explainable deep neural net- works for exact splice sites prediction,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Edeepssp: Explainable deep neural net- works for exact splice sites prediction,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.388624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11d278de-8a8b-420c-bc7b-e082ce9580b0 · outbound

This paper cites Obtaining genetics insights from deep learning via explainable artificial intelligence,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Obtaining genetics insights from deep learning via explainable artificial intelligence,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.369847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11b333ae-c981-49b2-84c5-9c602b33718d · outbound

This paper cites Explainn: interpretable and transparent neural networks for genomics,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Explainn: interpretable and transparent neural networks for genomics,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.347166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e67f2b9a-f325-43c2-aab5-e6e353be9a74 · outbound

This paper cites Optuna: A next- generation hyperparameter optimization framework,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Optuna: A next- generation hyperparameter optimization framework,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:37.108460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a154d6-064a-4d82-8223-974189d2dbe8 · outbound

This paper cites On the importance of initialization and momentum in deep learning,.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts On the importance of initialization and momentum in deep learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:37.314902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27698687-bd84-425c-b278-f2b77d5be862 · outbound

This paper cites an unresolved cited work.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:37.298270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad58229f-2248-446d-a930-75f107491f93 · outbound

This paper cites Available: https://doi.org/10.1093/nar/gkae441.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Available: https://doi.org/10.1093/nar/gkae441

Reference 2024

Resolution: verified exact; doi, observed 2026-08-06T17:54:37.162033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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