Mahsa Ghanbari

Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes

The paper performs a rare variant association study of 30 blood biomarkers in 191,971 UK Biobank individuals, identifying 193 gene-biomarker associations using functionally informed kernel-based tests.

Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome

The paper maps human RBP-viral RNA interactions for SARS-CoV-2 and related coronaviruses using deep learning, identifies variant impacts, and links RBPs to potential biomarkers.

Deep neural networks for interpreting RNA binding protein target preferences

This study develops a multitask deep learning model to predict RNA-binding protein (RBP) binding preferences and identifies key sequence motifs and transcript context patterns.

Deciphering human ribonucleoprotein regulatory networks

The paper analyzes RBP-RNA interactions across 64 RBPs to identify regulatory modules and their functional roles in RNA metabolism and localization.