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kundajelab/Fi-NeMo — GitHub trending stats & insights | Trendshift
Bifrost
Omnigraph
kundajelab/Fi-NeMo
Identifying transcription factor binding sites from neural network contribution scores
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Python
26
1
4 contributors
MIT License
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2. TF-MODISCO: . Summarizing recurrent contributing motifs across large collections of sequences. Official pre-print coming very soon. OG method by Avanti Shrikumar. Optimized implementation by…
@anshulkundaje · x.com
4) When we aggregate recurring high important sequences (into “motifs”), we find the preferences of previously known TFs, helping identify which TFs are active in regulation, and discover novel, cell…
@chang_m_yun · x.com
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