Ateeq Muhammed Khaliq

The paper identifies conserved transcriptional programs in pancreatic cancer liver metastases and shows how they interact with spatial immune microenvironments to drive metastatic progression.

This study uses LASSO to predict key features in LUAD subtypes based on RNA-Seq data from TCGA, showing improved survival prediction through unsupervised clustering and feature selection.

The paper uses LASSO modeling on RNASeq data from TCGA to identify subtype-specific genes in lung squamous cell carcinoma based on tumor heterogeneity.

This study compares proteogenomic profiles of right-sided colon cancer, left-sided colon cancer, and rectal cancers, revealing distinct mutational and protein interaction patterns.