Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

Network-based methods utilize protein–protein interaction information to identify significantly
perturbed subnetworks in cancer and to propose key molecular pathways. Numerous …

Motivation Identifying cancer genes remains a significant challenge in cancer genomics
research. Annotated gene sets encode functional associations among multiple genes, and …

This project introduces a comprehensive pipeline that integrates various bioinformatics tools
and methodologies derived from extensive bibliographic research to leverage Perturb-seq, a …

High-throughput sequencing technologies are ubiquitous in modern biology, generating
over a zettabyte (109 TB) of data annually [1]. The development of breakthrough …

A major goal of cancer biology is to understand the mechanisms driven by somatically
acquired mutations. Two distinct methodologies—one analyzing mutation clustering within …