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dc.contributor.authorTarca, Adi L.
dc.contributor.authorCarey, Vincent J.
dc.contributor.authorChen, Xue-wen
dc.contributor.authorRomero, Roberto
dc.contributor.authorDraghici, Sorin
dc.date.accessioned2014-03-20T17:35:58Z
dc.date.available2014-03-20T17:35:58Z
dc.date.issued2007-06-29
dc.identifier.citationTarca, A. L., Carey, V. J., Chen, X., Romero, R., & Drăghici, S. (2007). Machine Learning and Its Applications to Biology. PLoS Comput Biol, 3(6). http://dx.doi.org/10.1371/journal.pcbi.0030116
dc.identifier.urihttp://hdl.handle.net/1808/13311
dc.publisherPublic Library of Science
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.subjectCovariance
dc.subjectGene expression
dc.subjectMachine learning
dc.subjectMicroarrays
dc.subjectNeural networks
dc.subjectProbability density
dc.subjectSupport vector machine
dc.titleMachine Learning and Its Applications to Biology
dc.typeArticle
kusw.kuauthorChen, Xue-wen
kusw.kudepartmentDepartment of Electrical Engineering and Computer Science
kusw.oastatusfullparticipation
dc.identifier.doi10.1371/journal.pcbi.0030116
dc.identifier.orcidhttps://orcid.org/0000-0001-7917-1459
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
Except where otherwise noted, this item's license is described as: This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.