This dataset contains the training, validation, and test data used for transcription factor (TF)–DNA binding prediction in the TFBindFormer framework. It integrates genomic DNA sequence bins with tran
1Microarray data shown as fold change in expression from day 21 to day 56;2Nucleotide abbreviations: N = G, A or T; K = G or T, Y = T or C, M = A or C, R = A or G;3The Log-likelihood scores is a stati
Twenty core C. albicans microcolony genes were analyzed using the PathoYeastract database to predict transcription factors that regulated at least half of the core microcolony genes.
Table 6 indicates the average AUC score across ten classifiers where training data from one TF (rows) was used to train a classifier that classified TFBS for another TF (columns).
Supplementary Material 9. Supplementary Table 9. TFs and their binding site prediction in promoter regions of Zn-responsive genes in WT and hvd14.d barley
