MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis.
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ABSTRACT:
SUBMITTER: Peng H
PROVIDER: S-EPMC4411044 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Publications
MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis.
Peng Hesen H Ma Junjie J Bai Yun Y Lu Jianwei J Yu Tianwei T
PloS one 20150427 4
Probabilistic association discovery aims at identifying the association between random vectors, regardless of number of variables involved or linear/nonlinear functional forms. Recently, applications in high-dimensional data have generated rising interest in probabilistic association discovery. We developed a framework based on functions on the observation graph, named MeDiA (Mean Distance Association). We generalize its property to a group of functions on the observation graph. The group of fun ...[more]
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