Sherry Bhalla

Systematic Meta-Analysis of Published Transcriptomic Prognostic Signatures and Development of a Robust Multi-Cohort Prognostic Classifier for Triple-Negative Breast Cancer

This study evaluates existing TNBC prognostic signatures and develops a robust 13-gene model with cross-cohort validation and therapeutic prioritization.

Whole-Genome Landscape of Breast Cancers from India shows Distinct Clinically Actionable Subtypes

This study presents whole-genome and transcriptome analyses of breast tumors from India, identifying novel mutations, copy number alterations, and subtypes with clinical implications.

Alternative Promoters Drive Transcriptomic Reprogramming and Prognostic Stratification in TNBC

The paper identifies tumor-specific and subtype-specific alternative promoters in TNBC and develops a prognostic model based on these promoters, showing improved risk prediction.

Macrophage Cholesterol Homeostasis Underpins the role of Sertraline as an Adjunctive Agent in Tuberculosis Therapy.

This paper shows sertraline enhances macrophage bactericidal activity against Mtb by rewiring cholesterol metabolism and activating inflammasome pathways.

A three gene signature predicts response to selinexor in multiple myeloma

The paper identifies a three-gene expression signature that predicts response to selinexor in multiple myeloma and glioblastoma.

Expression based biomarkers and models to classify early and late stage samples of Papillary Thyroid Carcinoma

This study identifies key transcripts and machine learning models to classify early and late stage Papillary Thyroid Carcinoma samples using TCGA data, achieving up to 75.43% accuracy.

Computing Skin Cutaneous Melanoma Outcome from the HLA-alleles and Clinical Characteristics

The paper develops prediction models using HLA-alleles and clinical characteristics to predict overall survival in skin cutaneous melanoma patients and identifies favorable and unfavorable superalleles.

GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology

GPSRdocker provides a docker-based container integrating bioinformatics tools for genomics, proteomics, and systems biology, enabling local or cloud use of computational resources.

Prediction and analysis of skin cancer progression using genomics profiles of patients

This study predicts melanoma progression using genomic features from TCGA SKCM data, identifying key genes and miRNAs that distinguish primary from metastatic tumors.

Classification of early and late stage Liver Hepatocellular Carcinoma patients from their genomics and epigenomics profiles.

The paper develops models to classify early and late stage Liver Hepatocellular Carcinoma using genomic and epigenomic data, achieving high accuracy and AUROC scores.

A web bench for analysis and prediction of oncological status from proteomics data of urine samples

The paper develops proteomics-based prediction models to distinguish urinary tract oncological samples from healthy controls using urine data and creates a web tool for data mining.