Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs | Paper Citation Record

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nucleic Acids Research 51(D1), 977–985 (2023)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature577, 179–189 (2020) 17

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs The American Journal of Human Genetics 101(1), 5–22 (2017)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Analytical Chemistry 91, 2155–2162 (2019)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Metabolites 10, 160 (2020)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Communications 12, 3832 (2021)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature 626(7998), 419–426 (2024)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Molecular Cell Biology 24, 695–713 (2023)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature 576(7787), 487–491 (2019)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature 513(7518), 382–387 (2014)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Proceedings of the National Academy of Sciences 101(48), 16855–16860 (2004)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Biochemical and Biophysical Research Communications 452, 294–301 (2014)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nucleic Acids Research 47(15), 8111–8125 (2019)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Cell Research, 1–21 (2024)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Molecular Cell Biology 24(6), 430–447 (2023) 18

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Human Molecular Genetics 24(R1), 102–110 (2015)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Molecular Cell Biology 22(2), 96–118 (2021)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Cell Signalling 101, 110504 (2023)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Cell Signalling 101, 110525 (2023)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Journal of Allergy and Clinical Immunol- ogy 141(4), 1202–1207 (2018)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Molecular Cell Biology 20(1), 21–37 (2019)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Science 386, 0799 (2024)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Trends in Genetics 29(1), 11–22 (2013)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Genetics 15(7), 453–468 (2014)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Trends in Biochemical Sciences 48(5), 450–462 (2023)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Nature Reviews Genetics 25(3), 211–232 (2024)

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Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs BMC Gastroenterology 22(1), 308 (2022) 19

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Observation 7d8ec954-c51e-400b-a6ab-c826af5ad202 · outbound

This paper cites International Journal of Advanced Computer Science and Applications 14(5) (2023).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs International Journal of Advanced Computer Science and Applications 14(5) (2023)

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T13:54:51.791307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3138f16-c2f8-4d46-ac08-fd64a5b5f6ff · outbound

This paper cites : Estimating gene expression from dna methylation and copy number variation: a deep learning regression model for multi-omics integration.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs : Estimating gene expression from dna methylation and copy number variation: a deep learning regression model for multi-omics integration

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.268314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f1893ad-a2d6-4406-8dbc-e8c99501699f · outbound

This paper cites : The performance of deep generative models for learn- ing joint embeddings of single-cell multi-omics data.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs : The performance of deep generative models for learn- ing joint embeddings of single-cell multi-omics data

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.257512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b806cf7d-3cda-4e26-a491-6d65b66734a3 · outbound

This paper cites arXiv preprint arXiv:2407.06405 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs arXiv preprint arXiv:2407.06405 (2024)

Reference 61

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:54:52.584901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8696979d-c75c-4e26-877c-c9c68663d875 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs In: Advances in Neural Information Processing Systems, vol

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.246852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5de9dc1c-261a-44be-807d-ff463b1d3327 · outbound

This paper cites Auto-Encoding Variational Bayes.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Auto-Encoding Variational Bayes

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T13:54:51.809271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68726e53-1436-4be7-9ffe-e092326af2fc · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs In: Advances in Neural Information Processing Systems, vol

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T13:54:51.812662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4fff24-70d6-4146-abe2-03c622e67a9c · outbound

This paper cites bioRxiv, 2024– 0624600337 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 2024– 0624600337 (2024)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.229851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16c207e9-790a-4167-93d1-a41511552beb · outbound

This paper cites bioRxiv, 2024–0126577441 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 2024–0126577441 (2024)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.220067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82458f8a-aa01-4582-9960-5fc59b30b928 · outbound

This paper cites Bioinformatics 37(16), 2231–2237 (2021).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Bioinformatics 37(16), 2231–2237 (2021)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.210358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fc34fc5-9c77-4593-ad71-4feaba7a87b3 · outbound

This paper cites Genome Biology 22(1), 158 (2021).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Genome Biology 22(1), 158 (2021)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.200007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 269a221d-b7f5-4c79-a92d-4f842819d512 · outbound

This paper cites Briefings in Bioinformatics 22(4), 226 (2021).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Briefings in Bioinformatics 22(4), 226 (2021)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.189419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcc6778c-ec08-459b-8b22-84e123ff2303 · outbound

This paper cites An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T13:54:52.487433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e46e054b-1dca-4a28-aeb7-1e9108e6ed7f · outbound

This paper cites Bioinformatics 38(1), 179–186 (2022).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Bioinformatics 38(1), 179–186 (2022)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.178395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f897975-46cb-496f-a0d9-1accd96feff1 · outbound

This paper cites PLOS ONE 18(2), 0281315 (2023).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs PLOS ONE 18(2), 0281315 (2023)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.167872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d137fd5a-30bb-48fe-9c3d-ad9a1be59ab4 · outbound

This paper cites bioRxiv, 794289 (2019).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 794289 (2019)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.157874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1883b778-7c43-4fd4-9949-cb6a65f136db · outbound

This paper cites Bioinformatics 36(20), 5045–5053 (2020).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Bioinformatics 36(20), 5045–5053 (2020)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.147864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0bfe79e-fa46-40ba-9a07-668f83bc8815 · outbound

This paper cites Scientific Reports 10(1), 9790 (2020).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Scientific Reports 10(1), 9790 (2020)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.136507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2f1ecd6-7756-4cc4-b965-4c643f5601c1 · outbound

This paper cites Genome Biology 24(1), 29 (2023).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Genome Biology 24(1), 29 (2023)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.125585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dee5cf5-ae24-4af6-978a-bbd5683847b9 · outbound

This paper cites AI 5(3), 1614–1632 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs AI 5(3), 1614–1632 (2024)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.115842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 416826a9-8e17-40f5-8ba1-c81b7f918e9c · outbound

This paper cites Genome Biology 25(1), 198 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Genome Biology 25(1), 198 (2024)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.105756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a6636e2-f076-4153-a127-9828a46416d5 · outbound

This paper cites Clinical Cancer Research 24(6), 1248–1259 (2018).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Clinical Cancer Research 24(6), 1248–1259 (2018)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.095381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 782e3b45-343e-4c0b-9cf6-6569bd42cee6 · outbound

This paper cites bioRxiv, 2024–0620599958 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 2024–0620599958 (2024)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.085706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fa3e7fc-5b6d-4c60-bd65-090dd9926b92 · outbound

This paper cites Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T13:54:52.473983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 310ecd98-6eaa-47f5-8365-a095b8140518 · outbound

This paper cites npj Aging 10(1), 37 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs npj Aging 10(1), 37 (2024)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.075754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef7eaf29-a75c-4c50-aad8-5c57715907f7 · outbound

This paper cites Scientific Reports 10(1), 8705 (2020).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Scientific Reports 10(1), 8705 (2020)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.065920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef933cbf-af77-44bd-a169-e2c7ae5b60e8 · outbound

This paper cites medRxiv, 2024–071124310294 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs medRxiv, 2024–071124310294 (2024)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.056279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6df0a85f-eac6-4737-b741-c2aa27b66653 · outbound

This paper cites Bioinformatics 34(14), 2441–2448 (2018).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Bioinformatics 34(14), 2441–2448 (2018)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.046290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbd9d8f8-9ded-4b9e-8c2a-78ea1b2817ab · outbound

This paper cites Frontiers in Genetics 11, 106 (2020).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Frontiers in Genetics 11, 106 (2020)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.036585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da5197f9-e080-4253-8856-10128e0df781 · outbound

This paper cites Journal of Translational Medicine 22(1), 79 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Journal of Translational Medicine 22(1), 79 (2024)

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.026514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e81f09cf-6415-4d70-9db2-ebefed2d1161 · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T13:54:51.896207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5610b6f9-5ef1-4ee5-9bde-63039c09b768 · outbound

This paper cites : Revolutionizing personalized medicine with generative ai: a systematic review.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs : Revolutionizing personalized medicine with generative ai: a systematic review

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.017155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed58533f-2b71-43f2-a256-33a66aacb9a8 · outbound

This paper cites Wasserstein GAN.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Wasserstein GAN

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T13:54:51.903651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d1fda8-219e-478b-a0c2-8a451f7a1fe9 · outbound

This paper cites Methods 226, 138–150 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Methods 226, 138–150 (2024)

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:53.007824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cebb7b03-f175-4c6d-84d4-dff74ca4db96 · outbound

This paper cites Molecular Genetics and Genomics 298(4), 871–882 (2023).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Molecular Genetics and Genomics 298(4), 871–882 (2023)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.998236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da83eee3-d2ba-4182-9b19-670b7ddbfc57 · outbound

This paper cites : Molecular design in drug discovery: a comprehensive review of deep generative models.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs : Molecular design in drug discovery: a comprehensive review of deep generative models

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.988862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1acadf33-5469-449c-a1bc-ae2464497fa0 · outbound

This paper cites : Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs : Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.978766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b1fba51-91bb-4256-9b04-cda949d8e558 · outbound

This paper cites an unresolved cited work.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:54:52.967507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f510a12-bca2-4860-90fa-275aab0146f5 · outbound

This paper cites Human Genetics141(9), 1481– 1498 (2022).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Human Genetics141(9), 1481– 1498 (2022)

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.957630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce2b77ca-69ed-43ee-afba-e5bd75025533 · outbound

This paper cites In: 2023 International Joint Conference on Neural Networks (IJCNN), pp.

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs In: 2023 International Joint Conference on Neural Networks (IJCNN), pp

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.948004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25781bef-db33-40f9-8c04-fdf0a8c001ac · outbound

This paper cites bioRxiv (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv (2024)

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.938075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1b87467-2bcc-4c02-93ce-56efb7da65de · outbound

This paper cites bioRxiv, 2024–0912612666 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 2024–0912612666 (2024)

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.928641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 73afaa0f-17b6-4b59-b768-822c707c2942 · outbound

This paper cites Bioinformatics 40(4), 169 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs Bioinformatics 40(4), 169 (2024)

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.919247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af866734-c173-438a-a830-3054b029a8ab · outbound

This paper cites bioRxiv, 2024–0307584010 (2024).

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs bioRxiv, 2024–0307584010 (2024)

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:54:52.909673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers