Maryam Haghani

This study evaluates DNA foundation models for predicting TFBSs in plants, finding HyenaDNA outperforms other methods in accuracy and efficiency.

HAVEN predicts viral hosts from protein sequences, achieving high accuracy for both common and rare hosts while outperforming larger models.

NEFFy computes the Number of Effective Sequences (NEFF) for multiple sequence alignments, offering integrated functionality and support for diverse formats and sequence types.

SynVerse evaluates DL models for drug synergy prediction, finding none outperform a naive baseline and highlighting poor generalization to unseen drugs and cell lines.