Microarray analysis techniques: Difference between revisions

Revision as of 23:50, 23 June 2013

Revision as of 21:46, 1 November 2013

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The current Affymetrix MAS5 algorithm, which uses both perfect match and mismatch probes, continues to enjoy popularity and do well in head to head tests.<ref>{{cite journal |author=Lim WK, Wang K, Lefebvre C, Califano A |title=Comparative analysis of microarray normalization procedures: effects on reverse engineering gene networks |journal=Bioinformatics |volume=23 |issue=13 |pages=i282–8 |year=2007 |pmid=17646307 |doi=10.1093/bioinformatics/btm201}}</ref>

Factor Analysis for Robust Microarray Summarization (FARMS)<ref>[[Sepp Hochreiter]], Djork-Arné Clevert, and Klaus Obermayer, 2006. A new summarization method for affymetrix probe level data." ''Bioinformatics,'' 22(8), 943-949. [http://bioinformatics.oxfordjournals.org/cgi/content/short/22/8/943]</ref> is a model-based technique for summarizing array data at perfect match probe level. It is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise. According to the Affycomp benchmark<ref>http://affycomp.jhsph.edu/</ref> FARMS outperformed all other summarizations methods with respect to sensitivity and specificity.

==Identification of significant differential expression==