Iranna Kotturshetti

The paper identifies candidate genes and signaling pathways in pituitary prolactinoma using bioinformatics analysis of transcriptome data.

The paper identifies key genes and pathways in obesity-associated type 2 diabetes through bioinformatics analysis, proposing them as diagnostic markers and therapeutic targets.

This study identifies key genes and pathways in neuroendocrine tumors using bioinformatics analysis and validates potential drug targets through molecular docking and experimental validation.

This study identifies potential core genes in hepatoblastoma using bioinformatics analysis of microarray data, revealing key genes involved in carcinogenesis and progression.

The paper identifies differentially expressed genes and pathways in glioblastoma multiform using genomic data and validates hub genes for potential biomarkers.

This study identifies potential biomarkers for triple receptor negative breast cancer using microarray analysis and bioinformatics tools.

This study identifies 10 hub genes associated with ccRCC tumorigenesis and prognosis through bioinformatics analysis of gene expression data.

The paper identifies key genes and pathways associated with sporadic Creutzfeldt-Jakob disease using bioinformatics analyses of gene expression data.