ImaGEO: integrative gene expression meta-analysis from GEO database-Reference-Cited by-同舟云学术

ImaGEO: integrative gene expression meta-analysis from GEO database

Published:2018-08-20 Issue:5 Volume:35 Page:880-882
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Toro-Domínguez Daniel¹²,Martorell-Marugán Jordi¹,López-Domínguez Raúl¹^ORCID,García-Moreno Adrián¹,González-Rumayor Víctor³,Alarcón-Riquelme Marta E²⁴,Carmona-Sáez Pedro¹

Affiliation:

1. Bioinformatics Unit, GENYO Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain

2. Area of Medical Genomics, GENYO Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain

3. Atrys Health, Barcelona, Spain

4. Unit of Chronic Inflammatory Diseases, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden

Funder

Junta de Andalucía

Ministerio de Economía, Industria y Competitividad

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/35/5/880/27994997/bty721.pdf

Reference9 articles.

1. NCBI GEO: archive for functional genomics data sets–update;Barrett;Nucleic Acids Res,2013

2. Metagene projection characterizes GEN2.2 and CAL-1 as relevant human plasmacytoid dendritic cell models;Carmona-Sáez;Bioinformatics,2017

3. GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor;Davis;Bioinformatics,2007

4. shinyGEO: a web-based application for analyzing gene expression omnibus datasets;Dumas;Bioinformatics,2016

5. ScanGEO: parallel mining of high-throughput gene expression data;Koeppen;Bioinformatics,2017

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