Tiana: transcription factors cooperativity inference analysis with neural attention

HIGHLIGHTS

• What: The authors demonstrated that TIANA could discover biologically relevant insights into co-occurring pairs of transcription factor motifs. Quantifying transcription factor cooperativities For each pair TF motif, the authors compare the attention attributes for all the peaks between positive and negative sequences. The authors reason that SATORI and DeepSEA require sufficient input sequences to learn convolution filters that represent motifs, while TIANA only needs to learn TF cooperativities with preloaded motif weights. This study shows that TIANA is a robust tool to infer cooperative TF co-occurrence from epigenomic data.
• Who: Rick Z. Li . . .
  

   

  

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