期刊
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
卷 5, 期 2, 页码 143-157出版社
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJDMB.2011.039174
关键词
PROMISE; projection onto the most interesting statistical evidence; integrated statistical analysis; genomic date; adaptive permutation testing; biologically meaningful; correlation patterns; statistical genomics; computational genomics; linear combinations; association statistics; bioinformatics; prior knowledge; data analysis; paediatric leukaemia
资金
- National Cancer Institute [CA21765, CA60419]
- American Lebanese Syrian Associated Charities (ALSAC)
- NATIONAL CANCER INSTITUTE [P30CA021765, U01CA060419, R01CA060419] Funding Source: NIH RePORTER
We recently developed the Projection Onto the Most Interesting Statistical Evidence (PROMISE) procedure that uses prior biological knowledge to guide an integrated analysis of gene expression data with multiple biological and clinical endpoints. Here, PROMISE is adapted to the integrated analysis of pharmacologic, clinical and genome-wide genotype data. An efficient permutation-testing algorithm is introduced so that PROMISE is computationally feasible in this higher-dimension setting. In the analysis of a paediatric leukaemia data set, PROMISE effectively identifies genomic features that exhibit a biologically meaningful pattern of association with multiple endpoint variables.
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