Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data

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Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data is …
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scholarly articleQ13442814

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P819ADS bibcode2013PLoSO...884253Y
P356DOI10.1371/JOURNAL.PONE.0084253
P932PMC publication ID3875537
P698PubMed publication ID24386356
P5875ResearchGate publication ID259567834

P2093author name stringMing Liu
Xiumin Li
Xuejun Li
Suhuan Liu
Shuyu Yang
Zhibin Li
Zhimin Ou
Mingxing Yang
P2860cites workCluster analysis and display of genome-wide expression patternsQ24644463
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue12
P407language of work or nameEnglishQ1860
P921main subjectleast squares methodQ74304
P304page(s)e84253
P577publication date2013-12-30
P1433published inPLOS OneQ564954
P1476titleGene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data
P478volume8

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Q90550034Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networkscites workP2860

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