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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chretien, S. Guyeux, C. Boyer-Guittaut, M. Delage-Mouroux, R. Descotes, F. |
| Copyright Year | 2015 |
| Description | Author affiliation: EA 3922/IFR133, Univ. de Franche-Comte, Besançon, France (Boyer-Guittaut, M.; Delage-Mouroux, R.) || Service de Biochimie et Biol. Mol. Sud, Centre Hospitalier Lyon Sud, Pierre Bénite, France (Descotes, F.) || DISC Comput. Sci. Dept., Univ. de Franche-Comte, Besançon, France (Guyeux, C.) || Lab. de Math. de Besancon, Univ. de Franche-Comte, Besancon, France (Chretien, S.) |
| Abstract | In this article, we present a methodology to perform selection among genes based on their expression in various groups of patients, in order to find new genetic markers for specific pathologies. Our approach is based on clustering the denoised data and computing a LASSO (Least Absolute Shrinkage and Selection Operator) estimator, in order to select the relevant genes. This latter belongs to the class of penalized regression estimators where the penalty is a multiple of the $ℓ_{1}-norm$ of the regression vector. Gene markers of the most severe tumor state are finally provided using the proposed approach. |
| Sponsorship | IEEE |
| Starting Page | 994 |
| Ending Page | 998 |
| File Size | 697441 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467367998 |
| DOI | 10.1109/BIBM.2015.7359819 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Programmable logic arrays |
| Content Type | Text |
| Resource Type | Article |
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