TY  - SER
AU  - Ritchie,Marylyn
AU  - Moore,Jason
ED  - SpringerLink (Online service)
TI  - BioData Mining
SN  - 1756-0381
CY  - London
PB  - BioMed Central, Imprint: BioMed Central.
KW  - Data mining
KW  - Bioinformatics
KW  - Computational biology
KW  - Algorithms
KW  - Computer Appl. in Life Sciences
KW  - Computational Biology/Bioinformatics
KW  - Data Mining and Knowledge Discovery
N2  - 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
UR  - http://biodatamining.biomedcentral.com/
ER  -