R G SHARATHCHANDRA

This study identifies hub genes and enriched pathways in type 2 diabetes using bioinformatics analysis of T2D-associated genes.

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.