New Results
MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations
Xing Hua, Paula L. Hyland, Jing Huang, Bin Zhu, Neil E. Caporaso, Maria Teresa Landi, Nilanjan Chatterjee, Jianxin Shi
doi: https://doi.org/10.1101/017731
Xing Hua
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Paula L. Hyland
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Jing Huang
2Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, Maryland, 20892, USA
Bin Zhu
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Neil E. Caporaso
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Maria Teresa Landi
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Nilanjan Chatterjee
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Jianxin Shi
1Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, 20892, USA
Article usage
Posted April 09, 2015.
MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations
Xing Hua, Paula L. Hyland, Jing Huang, Bin Zhu, Neil E. Caporaso, Maria Teresa Landi, Nilanjan Chatterjee, Jianxin Shi
bioRxiv 017731; doi: https://doi.org/10.1101/017731
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14936)
- Cancer Biology (12051)
- Cell Biology (17360)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18269)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60822)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10401)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)