Published in
Oxford University Press (OUP), Bioinformatics, 16(25), p. 2013-2019
DOI: 10.1093/bioinformatics/btp357
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- ORCID
- Oxford University Press (OUP) | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
Tools
PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables
Journal article published in 2009 by
Stan Pounds 
,
Cheng Cheng,
Xueyuan Cao,
Kristine R. Crews,
William Plunkett,
Varsha Gandhi,
Jeffrey Rubnitz ,
Raul C. Ribeiro,
James R. Downing,
Jatinder Lamba
,
Cheng Cheng,
Xueyuan Cao,
Kristine R. Crews,
William Plunkett,
Varsha Gandhi,
Jeffrey Rubnitz ,
Raul C. Ribeiro,
James R. Downing,
Jatinder Lamba
This paper is made freely available by the publisher.
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Abstract
Motivation: In some applications, prior biological knowledge can be used to define a specific pattern of association of multiple endpoint variables with a genomic variable that is biologically most interesting. However, to our knowledge, there is no statistical procedure designed to detect specific patterns of association with multiple endpoint variables.