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Machine Learning and Its Applications to Biology
dc.contributor.author | Tarca, Adi L. | |
dc.contributor.author | Carey, Vincent J. | |
dc.contributor.author | Chen, Xue-wen | |
dc.contributor.author | Romero, Roberto | |
dc.contributor.author | Draghici, Sorin | |
dc.date.accessioned | 2014-03-20T17:35:58Z | |
dc.date.available | 2014-03-20T17:35:58Z | |
dc.date.issued | 2007-06-29 | |
dc.identifier.citation | Tarca, 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.uri | http://hdl.handle.net/1808/13311 | |
dc.publisher | Public Library of Science | |
dc.rights | 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. | |
dc.rights.uri | https://creativecommons.org/publicdomain/zero/1.0/ | |
dc.subject | Covariance | |
dc.subject | Gene expression | |
dc.subject | Machine learning | |
dc.subject | Microarrays | |
dc.subject | Neural networks | |
dc.subject | Probability density | |
dc.subject | Support vector machine | |
dc.title | Machine Learning and Its Applications to Biology | |
dc.type | Article | |
kusw.kuauthor | Chen, Xue-wen | |
kusw.kudepartment | Department of Electrical Engineering and Computer Science | |
kusw.oastatus | fullparticipation | |
dc.identifier.doi | 10.1371/journal.pcbi.0030116 | |
dc.identifier.orcid | https://orcid.org/0000-0001-7917-1459 | |
kusw.oaversion | Scholarly/refereed, publisher version | |
kusw.oapolicy | This item meets KU Open Access policy criteria. | |
dc.rights.accessrights | openAccess |
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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.