The Yang Lab is battling on the frontiers of precision medicine. We focus mostly on human cancer, and are also interested in non-cancer human diseases as well. We develop new computational methods to integrate the large scale genomic, transcriptomic, epigenetic and clinical data to understand the mechanisms of pathogenesis, to discover new drug targets, and eventually, to help patients.
Harvard Medical School
Boston, MA
Postdoc - Biomedical Informatics
University of Georgia
Athens, GA
PhD - Genetics
Meerkat: An Algorithm to Reliably Identify Structural Variations and Predict Their Forming Mechanisms.
Meerkat: An Algorithm to Reliably Identify Structural Variations and Predict Their Forming Mechanisms. Methods Mol Biol. 2022; 2493:107-135.
PMID: 35751812
An enhanced genetic model of colorectal cancer progression history.
An enhanced genetic model of colorectal cancer progression history. Genome Biol. 2019 08 15; 20(1):168.
PMID: 31416464
A Pan-Cancer Compendium of Genes Deregulated by Somatic Genomic Rearrangement across More Than 1,400 Cases.
A Pan-Cancer Compendium of Genes Deregulated by Somatic Genomic Rearrangement across More Than 1,400 Cases. Cell Rep. 2018 07 10; 24(2):515-527.
PMID: 29996110
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma.
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma. Cell Rep. 2018 Jun 19; 23(12):3698.
PMID: 29925010
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma.
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma. Cell Rep. 2018 04 03; 23(1):313-326.e5.
PMID: 29617669
Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma.
Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma. Cancer Cell. 2017 08 14; 32(2):204-220.e15.
PMID: 28810145
A Pan-Cancer Proteogenomic Atlas of PI3K/AKT/mTOR Pathway Alterations.
A Pan-Cancer Proteogenomic Atlas of PI3K/AKT/mTOR Pathway Alterations. Cancer Cell. 2017 06 12; 31(6):820-832.e3.
PMID: 28528867
Engineering and Functional Characterization of Fusion Genes Identifies Novel Oncogenic Drivers of Cancer.
Engineering and Functional Characterization of Fusion Genes Identifies Novel Oncogenic Drivers of Cancer. Cancer Res. 2017 07 01; 77(13):3502-3512.
PMID: 28512244
Integrated genomic and molecular characterization of cervical cancer.
Integrated genomic and molecular characterization of cervical cancer. Nature. 2017 03 16; 543(7645):378-384.
PMID: 28112728
Integrated genomic characterization of oesophageal carcinoma.
Integrated genomic characterization of oesophageal carcinoma. Nature. 2017 01 12; 541(7636):169-175.
PMID: 28052061