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JOURNAL

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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Papers listed here have been accepted for publication and will be published shortly. To obtain additional information on papers in production sign up for email alerts.


Evaluating the prognostic accuracy of biomarkers for glioblastoma multiforme (GBM) in the Cancer Genome Atlas (TCGA) data

Non-monotonic Pathway Gene Expression Analysis Reveals Oncogenic Role of p27/Kip1 at Intermediate Dose



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