Cancer Informatics

An international, peer reviewed, open access journal that focuses on reporting bioinformatic analysis of molecular genetic and/or clinical data pertaining to human cancer risk, prevention, outcome or treatment response.  The journal recognizes that scientific collaborations across traditional disciplines can yield exponential synergistic gains: cancer research benefits from advances in many fields, including genomics and proteomics, mass spectrometry and radio imaging, computer science and biostatistics including machine learning and artificial intelligence, and medical informatics. The journal also recognizes the centrality of computational biology in these synergies.

Editor in Chief: Dr. J. T. Efird

ISSN: 1176-9351

Processing Speed: High quality, constructive peer review and rapid editorial decision within an average of four weeks.

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Precision Cancer Medicine through Biomedical Informatics

Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
Ankush Sharma, Enrico Capobianco

Original research | Published on 26 Jul 2017

Time-Based Switching Control of Genetic Regulatory Networks: Toward Sequential Drug Intake for Cancer Therapy
Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Fen Wu, Edward R Dougherty

Original research | Published on 10 May 2017

Significant Prognostic Features and Patterns of Somatic Mutations in Human Cancers
Wensheng Zhang, Andrea Edwards, Erik K Flemington, Kun Zhang

Original research | Published on 20 Feb 2017

Biological Networks for Cancer Candidate Biomarkers Discovery
Wenying Yan, Wenjin Xue, Jiajia Chen and Guang Hu

Original research | Published on 04 Sep 2016

Sequencing for the Masses: Another Desktop Revolution
Guest Editors:
Dr Michael Rossi, Dr Scott Newman, and Dr JianJiong Gao

Bioinformatics Education in Pathology Training: Current Scope and Future Direction
Michael R Clay, Kevin E Fisher

Original research | Published on 10 Apr 2017

Computer Simulation, Bioinformatics, and Statistical Analysis of Cancer Data and Processes
Guest Editors:
Dr Sherry Wang, Dr Guanghua Xiao, Dr Peng Wei, and Dr Larry Tang

Identification of Prognostic Genes and Pathways in Lung Adenocarcinoma Using a Bayesian Approach
Yu Jiang, Yuan Huang, Yinhao Du, Yinjun Zhao, Jie Ren, Shuangge Ma, Cen Wu

Original research | Published on 21 Feb 2017

Unified Least Squares Methods for the Evaluation of Diagnostic Tests With the Gold Standard
Liansheng Larry Tang, Ao Yuan, John Collins, Xuan Che, Leighton Chan

Original research | Published on 03 Feb 2017

ROC Estimation from Clustered Data with an Application to Liver Cancer Data
Joungyoun Kim, Sung-Cheol Yun, Johan Lim, Moo-Song Lee, Won Son and DoHwan Park

Original research | Published on 22 Dec 2016

Novel Biomarker Candidates for Colorectal Cancer Metastasis: A Meta-analysis of In Vitro Studies
Nguyen Phuoc Long, Wun Jun Lee, Nguyen Truong Huy, Seul Ji Lee, Jeong Hill Park and Sung Won Kwon

Original research | Published on 22 Sep 2016

DNA Methylation Heterogeneity Patterns in Breast Cancer Cell Lines
Sunny Tian, Karina Bertelsmann, Linda Yu and Shuying Sun

Original research | Published on 07 Sep 2016

  • Efficient Processing: 4 Weeks Average to First Editorial Decision
  • Fair & Independent Expert Peer Review
  • High Visibility & Extensive Database Coverage
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