Martti E. E. Tolvanen

TFBSFootprinter predicts transcription factor binding sites across 124 vertebrate species using multiomic data, outperforming existing tools in accuracy.

The paper identifies regulatory differences between modern human and Neanderthal promoters, highlighting transcription factors and genes associated with brain development and neuropsychiatric disorders.

The paper develops an ensemble system combining random forest and neural network models to predict protein functions using sequence and taxonomic features, showing competitive performance in CAFA3 evaluations.