Omkar Chandra

The paper uses epigenetic features to predict disease-associated genes and their regulators, emphasizing cell-type context and validating findings with genomic data.

scEpiSearch enables accurate matching of single-cell open-chromatin profiles to large reference datasets, improving co-embedding and classification of epigenomic states across species and platforms.

The paper predicts gene functions using epigenomic patterns and TF binding, achieving high accuracy and validating results with CRISPR screens and PubMed data.

The paper develops a method to predict both local and long-range chromatin interactions using single-cell open-chromatin profiles, revealing insights into cis-regulatory elements in the human brain.