Vijayachitra Modhukur

This study finds no significant transcriptomic differences between PMOS and control iPSC lines, highlighting donor variation as the main source of expression differences.

This paper develops explainable machine learning models to predict relapse timing in endometrial cancer using preoperative data, finding high performance with F1 scores up to 0.895.

The paper investigates endometrial polyps using bulk and single-cell RNA sequencing, identifying aberrant stromal-to-epithelial transitions and altered differentiation trajectories.

This study examines proteomic changes in lung adenocarcinoma cell lines after high-dose radiation, identifying potential therapeutic targets like EPHA2 and CTSD.

OncoProExp is a web application for cancer proteomics and phosphoproteomics analysis, offering tools for data exploration, biomarker discovery, and risk stratification using machine learning.

The paper uses single-cell RNA-sequencing to identify distinct metabolic signatures in endometriotic lesions compared to eutopic endometrium, highlighting altered pathways and steroidogenesis-related genes in specific cell types.

The paper investigates the effects of alcohol exposure on placental DNA methylation and identifies DPPA4 as a candidate gene for alcohol-induced developmental disorders.