SIFORM: shared informative factor models for integration of multi-platform bioinformatic data | Zendy

Xuebei An | Zendy; Jianhua Hu | Zendy; KimAnh Do | Zendy

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SIFORM: shared informative factor models for integration of multi-platform bioinformatic data

Author(s) -

Xuebei An,

Jianhua Hu,

KimAnh Do

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw295

Subject(s) - computer science , carcinogenesis , computational biology , data mining , curse of dimensionality , bioinformatics , biology , machine learning , cancer , genetics

High-dimensional omic data derived from different technological platforms have been extensively used to facilitate comprehensive understanding of disease mechanisms and to determine personalized health treatments. Numerous studies have integrated multi-platform omic data; however, few have efficiently and simultaneously addressed the problems that arise from high dimensionality and complex correlations.

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