Computational biology is the application of computer science, statistics, and mathematics to problems in biology. Computational biology spans a wide range of fields within biology, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution. Likewise, it makes use of tools and techniques from many different quantitative fields, including algorithm design, machine learning, Bayesian and frequentist statistics, and statistical physics.
International of Biomedical Data Mining which publishes original research papers on valuable algorithms, methods and software tools in the fields of data mining, knowledge discovery, data analysis and machine learning, and their application to compelling biomedical, healthcare and bioinformatics problems. Data mining journals present original research in the field, highlighting methodological aspects and providing experimental evidence of their effectiveness on specific problems and all aspects of data mining applied to high-dimensional biological and biomedical data.
Peer review refers to the work done during the screening of submitted manuscripts and funding applications. This process encourages authors to meet the accepted standards of their discipline and reduces the dissemination of irrelevant findings, unwarranted claims, unacceptable interpretations, and personal views. Publications that have not undergone peer review are likely to be regarded with suspicion by academic scholars and professionals.
Last date updated on June, 2014