Distilling biologically meaningful information from cancer genome sequencing data requires
comprehensive identification of somatic alterations using rigorous computational methods …

Advancements in data acquisition and computational methods are generating a large
amount of heterogeneous biomedical data from diagnostic domains such as clinical …

In 2020, we identified cancer-specific microbial signals in The Cancer Genome Atlas
(TCGA). Multiple peer-reviewed papers independently verified or extended our findings …

Aneuploidies—whole-chromosome or whole-arm imbalances—are the most prevalent
alteration in cancer genomes,. However, it is still debated whether their prevalence is due to …

Tumor necrosis happens commonly in advanced solid tumors. We reported that necroptosis
plays a major role in tumor necrosis. Although several key necroptosis regulators including …

Mitochondria are cellular powerhouses that generate energy through the electron transport
chain (ETC). The mitochondrial genome (mtDNA) encodes essential ETC proteins in a …

The goal of the National Cancer Institute's (NCI's) Genomic Data Commons (GDC) is to
provide the cancer research community with a data repository of uniformly processed …

PURPOSE Investigations of the molecular basis for the development, progression, and
treatment of cancer increasingly use complementary genomic assays to gather multiomic …

Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …

Accurate identification and effective removal of unwanted variation is essential to derive
meaningful biological results from RNA sequencing (RNA-seq) data, especially when the …