Editors-in-Chief: Jesus Aguilar-Ruiz PhD, Pablo De Olavide University; Jason H. Moore PhD, Dartmouth Medical School
BioData Mining publishes original articles 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.
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Latest articles
Review
Extraction of pure components from overlapped signals in gas chromatography-mass spectrometry (GC-MS)
Vladimir A Likić
BioData Mining 2009, 2:6 (12 October 2009)
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Methodology
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions
Casey S Greene, Nadia M Penrod, Jeff Kiralis, Jason H Moore
BioData Mining 2009, 2:5 (22 September 2009)
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Methodology
Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments
Ole Schulz-Trieglaff, Egidijus Machtejevas, Knut Reinert, Hartmut Schlüter, Joachim Thiemann, Klaus Unger
BioData Mining 2009, 2:4 (7 April 2009)
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Research
Partitioning clustering algorithms for protein sequence data sets
Sondes Fayech, Nadia Essoussi, Mohamed Limam
BioData Mining 2009, 2:3 (2 April 2009)
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Research
Multifactor dimensionality reduction analysis identifies specific nucleotide patterns promoting genetic polymorphisms
Eric Arehart, Scott Gleim, Bill White, John Hwa, Jason H Moore
BioData Mining 2009, 2:2 (30 March 2009)
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