An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17674

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DC Field	Value	Language
dc.contributor.author	Sun, M	-
dc.contributor.author	Ding, T	-
dc.contributor.author	Tang, XQ	-
dc.contributor.author	Keming, Y	-
dc.date.accessioned	2019-03-12T13:21:30Z	-
dc.date.available	2019-01-01	-
dc.date.available	2019-03-12T13:21:30Z	-
dc.date.issued	2018-04-23	-
dc.identifier.citation	IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16 (1), pp. 124 - 130	en_US
dc.identifier.issn	1545-5963	-
dc.identifier.issn	http://dx.doi.org/10.1109/TCBB.2018.2829519	-
dc.identifier.issn	1557-9964	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/17674	-
dc.description.sponsorship	National Natural Science Foundation of China	en_US
dc.format.extent	124 - 130	-
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	breast cancer	en_US
dc.subject	differentially expressed genes	en_US
dc.subject	Logistic Regression-Random Forest	en_US
dc.subject	Bonferroni test	en_US
dc.subject	gene interaction networks	en_US
dc.title	An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/TCBB.2018.2829519	-
dc.relation.isPartOf	IEEE/ACM Transactions on Computational Biology and Bioinformatics	-
pubs.issue	1	-
pubs.publication-status	Published	-
pubs.volume	16	-
dc.identifier.eissn	1557-9964	-
Appears in Collections:	Dept of Health Sciences Research Papers

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