Ankur Sharma

The paper integrates multiple datasets to create a comprehensive human liver cell atlas, identifying new cell types and associations with demographic factors.

Renoir maps ligand-target activities across spatial topologies and identifies context-specific cell-cell interactions from spatial transcriptomics data.

NucBalancer is a tool for selecting barcode sequences to optimize sample pooling and reduce sequencing biases across different platforms.

STOmics-GenX improves gene detection in spatial transcriptomics by integrating CRISPRclean with Stereo-seq, enhancing cell type annotation and biomarker identification in hepatocellular carcinoma.

The paper uses single-cell RNA-seq data to predict drug responses and combinations by analyzing intra-tumor transcriptomic heterogeneity in cancer cell lines.

The paper uses scRNA-seq to identify TROP2+ liver progenitor cells co-expressing ACE2 and TMPRSS2, suggesting they may be targets for SARS-CoV-2 infection and contribute to COVID-19-associated liver dysfunction.