Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5
Abstract
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
- Publication:
-
arXiv e-prints
- Pub Date:
- October 2018
- DOI:
- 10.48550/arXiv.1811.00416
- arXiv:
- arXiv:1811.00416
- Bibcode:
- 2018arXiv181100416S
- Keywords:
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- Computer Science - Machine Learning;
- Quantitative Biology - Genomics;
- Statistics - Machine Learning