Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include Bioinformatics and Genomic Networks, Gene expression and cancer classification, Single-cell and spatial transcriptomics, and Computational Drug Discovery Methods.
Cell type annotation using large language models (LLMs) and CytoAnalyst
Dietary Lycopene Intake and Gastric Cancer Risk: Findings from a Case-Control Study
Wastewater intelligence predicts the emergence of clinically-relevant and drug-resistant Candidozyma auris at healthcare facilities
A comprehensive review of cancer survival prediction using multi-omics integration and clinical variables
CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis
Identifying representative sequences of protein families using submodular optimization
Plant-Based Dietary Index and Risk of Pancreatic Cancer: Findings from a Prospective Cohort Study
Dietary Iron Intake and Risk of Gastric Cancer
Author Correction: Identifying representative sequences of protein families using submodular optimization
Guardians of the Mitochondria: Space Mitochondria 2.0 Systemic Analysis Reveals Bioenergetic Dysregulation Across Species
CytoAnalyst: A web-based platform for comprehensive single-cell RNA sequencing analysis
DSCC: disease subtyping using spectral clustering and community detection from consensus networks
Fourteen years of cellular deconvolution: methodology, applications, technical evaluation and outstanding challenges
A community effort to optimize sequence-based deep learning models of gene regulation
CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome
Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review
Changing global epidemiology of chronic hepatitis C virus-related outcomes from 2010 to 2019: cirrhosis is the growing burden of hepatitis C virus-related disease
RCPA: An Open‐Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization
Author Correction: A novel approach for predicting upstream regulators (PURE) that affect gene expression
A novel approach for predicting upstream regulators (PURE) that affect gene expression
Acyltransferase families that act on thioesters: Sequences, structures, and mechanisms
A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Assessment of a method to characterize antibody selectivity and specificity for use in immunoprecipitation
A Role for USP7 in DNA Replication
CAREER: Integrative Pathway Analysis for Cancer Subtyping, Patient Stratification, and Risk Prediction
CAREER: Integrative Pathway Analysis for Cancer Subtyping, Patient Stratification, and Risk Prediction
CAREER: Integrative Pathway Analysis for Cancer Subtyping, Patient Stratification, and Risk Prediction