Next‐generation sequencing methods have revolutionized the speed of generating variation
information. Sequence data have a plethora of applications and will increasingly be used for …

Identifying driver genes that contribute to cancer progression from numerous passenger
genes, although a central goal, is a major challenge. The protein–protein interaction network …

Motivation Genomic analyses from large cancer cohorts have revealed the mutational
heterogeneity problem which hinders the identification of driver genes based only on …

Several large‐scale human cancer genomics projects such as TCGA offered huge genomic
and clinical data for researchers to obtain meaningful genomics alterations which intervene …

Identification of actionable genomic vulnerabilities is key to precision oncology. Utilizing a
large-scale drug screening in patient-derived xenografts, we uncover driver gene alteration …

Identifying cooperating modules of driver alterations can provide insights into cancer
etiology and advance the development of effective personalized treatments. We present …

With the constant update of large-scale sequencing data and the continuous improvement of
cancer genomics data, such as International Cancer Genome Consortium (ICGC) and The …

Background Understanding the genetics underlying cancer development and progression is
the most important goal of biomedical research to improve patient survival rates. Recently …

Next-generation sequencing (NGS) technologies provide amount of somatic mutation data
in a large number of patients. The identification of mutated driver pathway and cancer …

When diagnosed at an advanced stage, most cancer patients suffer from treatment failure,
recurrences and low survival. Taking advantage of high-throughput sequencing and deep …