TIANA: transcription factors cooperativity inference analysis with neural attention.

ABSTRACT:

Background

Growing evidence suggests that distal regulatory elements are essential for cellular function and states. The sequences within these distal elements, especially motifs for transcription factor binding, provide critical information about the underlying regulatory programs. However, cooperativities between transcription factors that recognize these motifs are nonlinear and multiplexed, rendering traditional modeling methods insufficient to capture the underlying mechanisms. Recent development of attention mechanism, which exhibit superior performance in capturing dependencies across input sequences, makes them well-suited to uncover and decipher intricate dependencies between regulatory elements.

Result

We present Transcription factors cooperativity Inference Analys

SUBMITTER: Li RZ 

PROVIDER: S-EPMC11342676 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature