Fig. 6

Biologically relevant transfer learning improves model performance. Transfer learning performance for the target TFs HNF4A (A), JUND (B), MAX (C), SPI1 (D), SP1 (E), and EGR1 (F), from multi-models pre-trained with five TFs with the same binding mode as the target TF (dark blue boxes), five cofactors of the target TF with a different binding mode than the target TF (light blue boxes), five non-cofactors with the same binding mode as the target TF (white boxes), five functional partners of the target TF from STRING with a different binding mode than the target TF (yellow boxes), and five randomly selected TFs with a different binding mode than the target TF (red boxes), with (left) and without (right) the presence of the target TF in the pre-training step. AUCPR, area under the precision-recall curve; BM, binding mode; TF, transcription factor