BindSpace: decoding transcription factor binding signals by large-scale joint embedding
Keyword(s):
AbstractDecoding transcription factor (TF) binding signals in genomic DNA is a fundamental problem. Here we present a prediction model called BindSpace that learns to embed DNA sequences and TF class/family labels into the same space. By training on binding data for hundreds of TFs and embedding over 1M DNA sequences, BindSpace achieves state-of-the-art multiclass binding prediction performance, in vitro and in vivo, and can distinguish signals of closely related TFs.
2019 ◽
Vol 116
(32)
◽
pp. 16143-16152
◽
1969 ◽
Vol 22
(03)
◽
pp. 577-583
◽
Keyword(s):
Keyword(s):
Keyword(s):