Pathway-structured predictive modeling for multi-level drug response in multiple myeloma-Reference-Cited by-同舟云学术

Pathway-structured predictive modeling for multi-level drug response in multiple myeloma

Published:2018-05-29 Issue:21 Volume:34 Page:3609-3615
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zhang Xinyan¹,Li Bingzong²,Han Huiying³,Song Sha³,Xu Hongxia³,Yi Zixuan⁴,Hong Yating²,Zhuang Wenzhuo³,Yi Nengjun⁵

Affiliation:

1. Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA

2. Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China

3. Department of Cell Biology, School of Biology and Basic Medical Sciences, Soochow University, Suzhou, China

4. School of Medicine, Eastern Virginia Medical School, Norfork, VA, USA

5. Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA

Funder

National Institutes of Health

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province China

Applied Basic Research Programs of Suzhou City

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/21/3609/26147073/bty436.pdf

Reference37 articles.

1. Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context;Abraham;BMC Bioinformatics,2010

2. Chemokines in multiple myeloma;Aggarwal;Exper. Hematol,2006

3. Computational Systems Biology of Cancer

4. Criteria for evaluating disease response and progression in patients with multiple myeloma treated by high-dose therapy and haemopoietic stem cell transplantation. Myeloma Subcommittee of the EBMT;Blade;Br. J. Haematol,1998

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