Redundancy Control in Pathway Databases (ReCiPa): An Application for Improving Gene-Set Enrichment Analysis in Omics Studies and “Big Data” Biology-Reference-Cited by-同舟云学术

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Redundancy Control in Pathway Databases (ReCiPa): An Application for Improving Gene-Set Enrichment Analysis in Omics Studies and “Big Data” Biology

Published:2013-08 Issue:8 Volume:17 Page:414-422
ISSN:1536-2310
Container-title:OMICS: A Journal of Integrative Biology
language:en
Short-container-title:OMICS: A Journal of Integrative Biology

Author:

Vivar Juan C.¹,Pemu Priscilla²,McPherson Ruth³,Ghosh Sujoy¹⁴

Affiliation:

1. Biomedical Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina.

2. Clinical Research Center, Morehouse School of Medicine, Atlanta, Georgia.

3. University of Ottawa Heart Institute, Ottawa, Ontario, Canada.

4. Dulce-NUS Graduate Medical School, Singapore.

Publisher

Mary Ann Liebert Inc

Subject

Genetics,Molecular Biology,Molecular Medicine,Biochemistry,Biotechnology

Link

http://www.liebertpub.com/doi/pdf/10.1089/omi.2012.0083

Reference34 articles.

1. A general modular framework for gene set enrichment analysis

2. Knowledge based identification of essential signaling from genome-scale siRNA experiments

3. A Biological Evaluation of Six Gene Set Analysis Methods for Identification of Differentially Expressed Pathways in Microarray Data

4. A systems biology approach for pathway level analysis

5. Making Sense of Big Data

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