PLIDA: cross-platform gene expression normalization using perturbed topic models | Zendy

Amit G. Deshwar | Zendy; Quaid Morris | Zendy

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PLIDA: cross-platform gene expression normalization using perturbed topic models

Author(s) -

Amit G. Deshwar,

Quaid Morris

Publication year - 2013

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/btt574

Subject(s) - normalization (sociology) , computer science , data mining , multiplicative function , database normalization , machine learning , matlab , artificial intelligence , pattern recognition (psychology) , programming language , mathematics , mathematical analysis , sociology , anthropology

Gene expression data are currently collected on a wide range of platforms. Differences between platforms make it challenging to combine and compare data collected on different platforms. We propose a new method of cross-platform normalization that uses topic models to summarize the expression patterns in each dataset before normalizing the topics learned from each dataset using per-gene multiplicative weights.

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