Literature DB >> 17634607

Microarray data analysis: an overview of design, methodology, and analysis.

Ashani T Weeraratna1, Dennis D Taub.   

Abstract

Microarray analysis results in the gathering of massive amounts of information concerning gene expression profiles of different cells and experimental conditions. Analyzing these data can often be a quagmire, with endless discussion as to what the appropriate statistical analyses for any given experiment might be. As a result many different methods of data analysis have evolved, the basics of which are outlined in this chapter.

Mesh:

Year:  2007        PMID: 17634607     DOI: 10.1007/978-1-59745-390-5_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

2.  Omics-based molecular target and biomarker identification.

Authors:  Zhang-Zhi Hu; Hongzhan Huang; Cathy H Wu; Mira Jung; Anatoly Dritschilo; Anna T Riegel; Anton Wellstein
Journal:  Methods Mol Biol       Date:  2011

3.  Microarray test results should not be compensated for multiplicity of gene contents.

Authors:  Tomokazu Konishi
Journal:  BMC Syst Biol       Date:  2011-12-14
  3 in total

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