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Open AccessCharacterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer
Widespread mammographic screening programs and improved self-monitoring allow for breast cancer to be detected earlier than ever before. Breast-conserving surgery is a successful treatment for select women. Ho...
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Open AccessNovel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applications
Today’s researchers have access to an unprecedented range of powerful machine learning tools with which to build models for classifying samples according to their metabolomic profile (e.g. separating diseased ...
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Proposed minimum reporting standards for data analysis in metabolomics
The goal of this group is to define the reporting requirements associated with the statistical analysis (including univariate, multivariate, informatics, machine learning etc.) of metabolite data with respect ...