PMID:19528086
| Citation |
Pounds, S, Cheng, C, Cao, X, Crews, KR, Plunkett, W, Gandhi, V, Rubnitz, J, Ribeiro, RC, Downing, JR and Lamba, J (2009) PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables. Bioinformatics 25:2013-9 |
|---|---|
| Abstract |
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. |
| Links |
PubMed PMC2723006 Online version:10.1093/bioinformatics/btp357 |
| Keywords |
Biometry; Gene Expression Profiling/methods; Genomics/methods; Oligonucleotide Array Sequence Analysis/methods; Software |
| edit table |
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