Microarray data analysis: from disarray to consolidation and consensus View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-01

AUTHORS

David B Allison, Xiangqin Cui, Grier P Page, Mahyar Sabripour

ABSTRACT

In just a few years, microarrays have gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to a weekly deluge of papers that describe purportedly novel algorithms for analysing changes in gene expression. Although the many procedures that are available might be bewildering to biologists who wish to apply them, statistical geneticists are recognizing commonalities among the different methods. Many are special cases of more general models, and points of consensus are emerging about the general approaches that warrant use and elaboration. More... »

PAGES

55-65

Journal

TITLE

Nature Reviews Genetics

ISSUE

1

VOLUME

7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nrg1749

DOI

http://dx.doi.org/10.1038/nrg1749

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017349746

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16369572


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