Divya Mishra

This paper identifies transcriptomic, miRNA, and CAF-associated reprogramming in EML4-ALK fusion-positive NSCLC compared to fusion-negative tumors.

This study identifies a fusion-driven post-transcriptional network in PRCC-TFE3 tumors that regulates ferroptosis resistance, dormancy, and immune remodeling through miRNA-mRNA interactions.

Screen-VarCal recalibrates ACMG variant classifications from InterVar to reduce false positives in preventive genomics using logistic regression and isotonic adjustment.

This study identifies immune suppression and metabolic reprogramming in FGFR3-TACC3 fusion-positive bladder cancer through transcriptomic and miRNA analysis, revealing fusion-specific regulatory interactions and potential therapeutic targets.

PANOMIQ streamlines analysis of whole-genome, exome, and microbiome data, reducing time and resources while enabling host-microbiome interaction studies.

This study identifies Lepiotaprocerin D as a potential inhibitor of BUB1B from mushroom compounds to prevent breast cancer metastasis through computational screening and molecular docking.

The paper identifies five hub genes associated with poor prognosis in breast cancer through transcriptome and pathway analyses of TCGA data.

This study identifies 13 hub genes overexpressed in hepatocellular carcinoma and glioblastoma multiforme, validated as prognostic biomarkers and potential therapeutic targets through transcriptome analysis and methylation studies.