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
Processing Speed: High quality, constructive peer review and rapid editorial decision within an average of four weeks.
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Cancer Informatics 2007:3 93-114
I have had the most pleasant experience of publishing our paper in Cancer Informatics than at any time in my publishing history. I find the attitude of the editors and supporting staff very positive, friendly and accommodative with fast response to any queries we raised. The system they have in place to trace the progress of the paper is very informative and made keeping up with the progress very comfortable. Overall, this journal rates the ...