Identifying modules of cooperating cancer drivers-Reference-Cited by-同舟云学术

Identifying modules of cooperating cancer drivers

Published:2021-03 Issue:3 Volume:17 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Molecular Systems Biology

Author:

Klein Michael I¹²^ORCID,Cannataro Vincent L³⁴,Townsend Jeffrey P¹⁴⁵,Newman Scott²,Stern David F⁵⁶^ORCID,Zhao Hongyu¹⁴⁵^ORCID

Affiliation:

1. Program in Computational Biology and Bioinformatics Yale University New Haven CT USA

2. Bioinformatics R&D Sema4 Stamford CT USA

3. Department of Biology Emmanuel College Boston MA USA

4. Department of Biostatistics Yale School of Public Health New Haven CT USA

5. Yale Cancer Center Yale University New Haven CT USA

6. Department of Pathology Yale School of Medicine New Haven CT USA

Funder

National Institutes of Health

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20209810

Reference106 articles.

1. Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma

2. Identifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU

3. Estimating the number of genetic mutations (hits) required for carcinogenesis based on the distribution of somatic mutations

4. Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

5. QuaDMutEx: quadratic driver mutation explorer

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