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Rule-Based Approaches for Large Biological Datasets Analysi..:
Kruczyk, Marcin
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, 1651-6214. , 2013
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-206137
RT Journal T1 <Title>Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftuppsalauniv:oai:DiVA.org:uu-206137&Exemplar=1&LAN=DE A1 Kruczyk, Marcin PB Uppsala YR 2013 K1 Rough sets K1 peak finding K1 gliomas K1 Alzheimer disease K1 STAT3 K1 machine learning K1 feature selection K1 next generation sequencing K1 Cell and Molecular Biology K1 Cell- och molekylärbiologi K1 Bioinformatics and Systems Biology K1 Bioinformatik och systembiologi K1 Bioinformatics (Computational Biology) K1 Bioinformatik (beräkningsbiologi) JF Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, 1651-6214 LK http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-206137 DO http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-206137 SF ELIB - SuUB Bremen
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