Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.docx | 1.84 MB | Microsoft Word XML | View/Open |
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