Table of Contents
ISRN Bioinformatics
Volume 2014, Article ID 345106, 7 pages
http://dx.doi.org/10.1155/2014/345106
Research Article

Comparison of Merging and Meta-Analysis as Alternative Approaches for Integrative Gene Expression Analysis

Computational Modeling Lab, Vrije Universiteit Brussel, 1050 Brussels, Belgium

Received 26 August 2013; Accepted 24 September 2013; Published 12 January 2014

Academic Editors: J. P. de Magalhaes and S. Liuni

Copyright © 2014 Jonatan Taminau et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Christopher J Walsh, Pingzhao Hu, Jane Batt, and Claudia C Dos Santos, “Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery.,” Microarrays (Basel, Switzerland), vol. 4, no. 3, pp. 389–406, 2015. View at Publisher · View at Google Scholar
  • Henry A Ogoe, Shyam Visweswaran, Xinghua Lu, and Vanathi Gopalakrishnan, “Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.,” BMC bioinformatics, vol. 16, pp. 226, 2015. View at Publisher · View at Google Scholar
  • Sally Yepes, Maria Mercedes Torres, and Liliana López-Kleine, “Regulatory network reconstruction reveals genes with prognostic value for chronic lymphocytic leukemia,” BMC Genomics, vol. 16, no. 1, 2015. View at Publisher · View at Google Scholar
  • Vincenzo Lagani, Argyro D Karozou, David Gomez-Cabrero, Gilad Silberberg, and Ioannis Tsamardinos, “A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions.,” BMC bioinformatics, vol. 17Suppl5, pp. 194, 2016. View at Publisher · View at Google Scholar
  • Ramani Gopal, Karthikeyan Selvarasu, Ponmathi Panneer Pandian, and Kumaresan Ganesan, “Integrative transcriptome analysis of liver cancer profiles identifies upstream regulators and clinical significance of ACSM3 gene expression.,” Cellular oncology (Dordrecht), vol. 40, no. 3, pp. 219–233, 2017. View at Publisher · View at Google Scholar