Search for overrepresented characteristics of genes: Implementation of permutation tests using GPUs

An algorithmic approach and software for solving the problem of search for statistically significant overrepresented biological characteristics of genes from a given set are proposed. The problem is related to implementation of permutation (randomization) tests well known in biology. Parallel softwa...

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Bibliographic Details
Published in:Optoelectronics, instrumentation, and data processing instrumentation, and data processing, 2014, Vol.50 (1), p.102-107
Main Authors: Yakimenko, A. A., Gunbin, K. V., Khairetdinov, M. S.
Format: Article
Language:English
Subjects:
Computing and Information Measurement Systems
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
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Summary:An algorithmic approach and software for solving the problem of search for statistically significant overrepresented biological characteristics of genes from a given set are proposed. The problem is related to implementation of permutation (randomization) tests well known in biology. Parallel software based on the potential parallelization of the permutation test is developed and implemented on GPUs. The efficiency of application of this software on empirical materials is estimated..
ISSN:8756-6990
1934-7944
DOI:10.3103/S8756699014010130