Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17674
Full metadata record
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.docx | 1.84 MB | Microsoft Word XML | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.