Pathway analysis using random forests with bivariate node-split for survival outcomes
Publication
, Journal Article
Pang, H; Datta, D; Zhao, H
Published in: Bioinformatics
2009
Duke Scholars
Published In
Bioinformatics
EISSN
1460-2059
ISSN
1367-4803
Publication Date
2009
Volume
26
Issue
2
Start / End Page
250 / 258
Related Subject Headings
- Bioinformatics
- 08 Information and Computing Sciences
- 06 Biological Sciences
- 01 Mathematical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Pang, H., Datta, D., & Zhao, H. (2009). Pathway analysis using random forests with bivariate node-split for survival outcomes. Bioinformatics, 26(2), 250–258.
Pang, H., D. Datta, and H. Zhao. “Pathway analysis using random forests with bivariate node-split for survival outcomes.” Bioinformatics 26, no. 2 (2009): 250–58.
Pang H, Datta D, Zhao H. Pathway analysis using random forests with bivariate node-split for survival outcomes. Bioinformatics. 2009;26(2):250–8.
Pang, H., et al. “Pathway analysis using random forests with bivariate node-split for survival outcomes.” Bioinformatics, vol. 26, no. 2, 2009, pp. 250–58.
Pang H, Datta D, Zhao H. Pathway analysis using random forests with bivariate node-split for survival outcomes. Bioinformatics. 2009;26(2):250–258.
Published In
Bioinformatics
EISSN
1460-2059
ISSN
1367-4803
Publication Date
2009
Volume
26
Issue
2
Start / End Page
250 / 258
Related Subject Headings
- Bioinformatics
- 08 Information and Computing Sciences
- 06 Biological Sciences
- 01 Mathematical Sciences