Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields-Reference-Cited by-同舟云学术

Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields

Published:2017-07-12 Issue:14 Volume:33 Page:i170-i179
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Robinson Sean¹²³⁴⁵,Nevalainen Jaakko⁴⁶,Pinna Guillaume⁷,Campalans Anna⁸⁹¹⁰¹¹,Radicella J Pablo⁸⁹¹⁰¹¹,Guyon Laurent¹²³

Affiliation:

1. CEA, BIG, Biologie à Grande Echelle, F-38054 Grenoble, France

2. Université Grenoble-Alpes, F-38000 Grenoble, France

3. INSERM, U1038, F-38054 Grenoble, France

4. Department of Mathematics and Statistics, University of Turku, Turku, Finland

5. Industrial Biotechnology, VTT Technical Research Centre of Finland, Turku, Finland

6. School of Health Sciences, University of Tampere, Tampere, Finland

7. Plateforme ARN Interférence (PArI), DSV/ISVFJ/SBIGEM/UMR 9198 I2BC, CEA Saclay, Gif-sur-Yvette, France

8. Institute of Molecular and Cellular Radiobiology, CEA, Fontenay-aux-Roses, France

9. INSERM, U967, Fontenay-aux-Roses, France

10. Université Paris Diderot, U967, Fontenay-aux-Roses, France

11. Université Paris Sud, U967, Fontenay-aux-Roses, France

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/14/i170/25157135/btx244.pdf

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