BioData Mining  [electronic resource] / 
edited by Marylyn Ritchie, Jason Moore. 
 - London :  BioMed Central :  Imprint: BioMed Central. 
 -  online resource. 
<br/><br/> BioData Mining is an open access, open peer-reviewed journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data. Topical areas include, but are not limited to: Development, evaluation, and application of novel data mining and machine learning algorithms. Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. Open-source software for the application of data mining and machine learning algorithms. Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies. Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery. 
<br/><br/><label>ISSN: </label>1756-0381 
 = BioData Mining 
<br/><br/><label>Standard No.: </label>13040  local 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Bioinformatics.<br/>Computational biology.<br/>Algorithms.<br/>Computer Appl. in Life Sciences.<br/>Computational Biology/Bioinformatics.<br/>Data Mining and Knowledge Discovery.<br/>Bioinformatics.<br/>Algorithms.