N Bhattacharya

SecDATA provides a secure data access protocol with a graph-based de novo transcript assembly method, outperforming existing tools in transcript reconstruction.

InGene identifies influential genes in scRNA-seq data by assigning importance scores based on their contribution to nonlinear dimensionality reduction maps.

scSPARKL is a parallel analytical framework for scRNA-seq data that uses Apache Spark to handle large datasets through data reshaping, preprocessing, filtering, normalization, dimensionality reduction, and clustering.

The paper introduces unCTC, an R package for unbiased identification and characterization of CTCs from scRNA-Seq data, validated on breast CTCs.

SCellBOW identifies and risk-stratifies tumor cell subpopulations using scRNA-seq data by simulating their impact on disease prognosis.

Stardust is a visualization method that embeds cells and marker genes together on a 2D map, performing competitively with existing tools on scRNA-seq and spatial transcriptomics data.