Bobby Ranjan

This study examines how paternal environments and genetic backgrounds affect early embryonic development and identifies molecular responses to paternal conditions.

DUBStepR improves single-cell clustering by selecting features using gene-gene correlations and a Density Index, outperforming existing methods and detecting rare cell populations.

scConsensus combines supervised and unsupervised clustering to improve cell type identification in single-cell RNA sequencing data by integrating results and refining clusters with differentially expressed genes.

The paper introduces RCA2, a supervised clustering method for scRNA-seq data that is robust to batch effects and supports large-scale analysis.