MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration-Reference-Cited by-同舟云学术

MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration

Published:2018-07-23 Issue:9 Volume:5 Page:1800640
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Hou Yingnan¹²,Gao Bo¹²,Li Guojun¹²³,Su Zhengchang³

Affiliation:

1. School of Mathematics Shandong University Jinan 250100 P. R. China

2. State Key Laboratory of Microbial Technology Shandong University Jinan 250100 P. R. China

3. Department of Bioinformatics and Genomics The University of North Carolina at Charlotte 9201, University City Blvd Charlotte NC 28223 USA

Funder

National Natural Science Foundation of China

National Science Foundation

National Institutes of Health

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.201800640

Reference44 articles.

1. International network of cancer genome projects

2. The cancer genome

3. Somatic mutation in cancer and normal cells

4. Cancer Genome Landscapes

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