Robust estimators for expression analysis Export

@article{citeulike:1036775, abstract = {Motivation: We consider the problem of estimating values associated with gene expression from oligonucleotide arrays. Such estimates should linearly track concentration, yield non-negative results, have statistical guarantees of robustness against outliers, and allow estimates of significance and variance. Results: A hierarchy of simple models is used to design robust estimators meeting these goals for both stand alone and comparative experiments. This algorithm has been validated against an extensive panel of known spike experiments, and shows comparable performance to existing standards. Availability: Algorithms available commercially as part of the MAS 5.0 software package. Data sets available from the Affymetrix website. Contact: earl\_hubbell@affymetrix.com Supplemental Information: http://www.affymetrix.com/community/publications/affymetrix/index.affx 10.1093/bioinformatics/18.12.1585}, address = {Affymetrix, 3380 Central Expressway, Santa Clara, CA 95051, USA. earl\_hubbell@affymetrix.com}, author = {Hubbell, Earl and Liu, Wei-Min and Mei, Rui}, citeulike-article-id = {1036775}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/18.12.1585}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/18/12/1585.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/18/12/1585.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/18/12/1585}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/12490442}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=12490442}, day = {1}, doi = {10.1093/bioinformatics/18.12.1585}, issn = {1367-4803}, journal = {Bioinformatics}, keywords = {analysis, expression, robust}, month = {December}, number = {12}, pages = {1585--1592}, posted-at = {2008-03-12 10:45:49}, priority = {2}, title = {Robust estimators for expression analysis}, url = {http://dx.doi.org/10.1093/bioinformatics/18.12.1585}, volume = {18}, year = {2002} }

TY - JOUR ID - citeulike:1036775 L3 - citeulike-article-id:1036775 N2 - Motivation: We consider the problem of estimating values associated with gene expression from oligonucleotide arrays. Such estimates should linearly track concentration, yield non-negative results, have statistical guarantees of robustness against outliers, and allow estimates of significance and variance. Results: A hierarchy of simple models is used to design robust estimators meeting these goals for both stand alone and comparative experiments. This algorithm has been validated against an extensive panel of known spike experiments, and shows comparable performance to existing standards. Availability: Algorithms available commercially as part of the MAS 5.0 software package. Data sets available from the Affymetrix website. Contact: earl_hubbell@affymetrix.com Supplemental Information: http://www.affymetrix.com/community/publications/affymetrix/index.affx 10.1093/bioinformatics/18.12.1585 IS - 12 JF - Bioinformatics SN - 1367-4803 AD - Affymetrix, 3380 Central Expressway, Santa Clara, CA 95051, USA. earl_hubbell@affymetrix.com EP - 1592 TI - Robust estimators for expression analysis VL - 18 SP - 1585 KW - analysis KW - expression KW - robust AU - Hubbell, Earl AU - Liu, Wei-Min AU - Mei, Rui PY - 2002/12/01/ UR - http://dx.doi.org/10.1093/bioinformatics/18.12.1585 ER -