Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17674
Title: | An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF |
Authors: | Sun, M Ding, T Tang, XQ Keming, Y |
Keywords: | breast cancer;differentially expressed genes;Logistic Regression-Random Forest;Bonferroni test;gene interaction networks |
Issue Date: | 23-Apr-2018 |
Publisher: | IEEE |
Citation: | IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16 (1), pp. 124 - 130 |
URI: | http://bura.brunel.ac.uk/handle/2438/17674 |
DOI: | http://dx.doi.org/10.1109/TCBB.2018.2829519 |
ISSN: | 1545-5963 http://dx.doi.org/10.1109/TCBB.2018.2829519 1557-9964 |
Appears in Collections: | Dept of Health Sciences Research Papers |
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FullText.docx | 1.84 MB | Microsoft Word XML | View/Open |
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