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arxiv 1811.00416 v5 pith:4GCTQUJU submitted 2018-10-31 cs.LG q-bio.GNstat.ML

Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5

Avanti Shrikumar , Katherine Tian , \v{Z}iga Avsec , Anna Shcherbina , Abhimanyu Banerjee , Mahfuza Sharmin , Surag Nair , Anshul Kundaje This is my paper
classification cs.LG q-bio.GNstat.ML
keywords importancescoresdiscoveryfactormotifnotetechnicaltf-modisco
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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TF-MoDISco (Transcription Factor Motif Discovery from Importance Scores) is an algorithm for identifying motifs from basepair-level importance scores computed on genomic sequence data. This technical note focuses on version v0.5.6.5. The implementation is available at https://github.com/kundajelab/tfmodisco/tree/v0.5.6.5

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