Literature DB >> 12454643

Fundamentals of experimental design for cDNA microarrays.

Gary A Churchill1.   

Abstract

Microarray technology is now widely available and is being applied to address increasingly complex scientific questions. Consequently, there is a greater demand for statistical assessment of the conclusions drawn from microarray experiments. This review discusses fundamental issues of how to design an experiment to ensure that the resulting data are amenable to statistical analysis. The discussion focuses on two-color spotted cDNA microarrays, but many of the same issues apply to single-color gene-expression assays as well.

Mesh:

Substances:

Year:  2002        PMID: 12454643     DOI: 10.1038/ng1031

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  265 in total

1.  Study of dosage compensation in Drosophila.

Authors:  Pei-Wen Chiang; David M Kurnit
Journal:  Genetics       Date:  2003-11       Impact factor: 4.562

2.  A mixture model approach to detecting differentially expressed genes with microarray data.

Authors:  Wei Pan; Jizhen Lin; Chap T Le
Journal:  Funct Integr Genomics       Date:  2003-07-01       Impact factor: 3.410

Review 3.  Methodological considerations regarding single-cell gene expression profiling for brain injury.

Authors:  Jason E Davis; James H Eberwine; David A Hinkle; Paolo G Marciano; David F Meaney; Tracy K McIntosh
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

4.  Intensity-based analysis of two-colour microarrays enables efficient and flexible hybridization designs.

Authors:  Peter A C 't Hoen; Rolf Turk; Judith M Boer; Ellen Sterrenburg; Renée X de Menezes; Gert-Jan B van Ommen; Johan T den Dunnen
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

Review 5.  In control: systematic assessment of microarray performance.

Authors:  Harm van Bakel; Frank C P Holstege
Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

6.  Reducing system noise in copy number data using principal components of self-self hybridizations.

Authors:  Yoon-ha Lee; Michael Ronemus; Jude Kendall; B Lakshmi; Anthony Leotta; Dan Levy; Diane Esposito; Vladimir Grubor; Kenny Ye; Michael Wigler; Boris Yamrom
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-29       Impact factor: 11.205

7.  Alternating temperature breaks dormancy in leafy spurge seeds and impacts signaling networks associated with HY5.

Authors:  Wun S Chao; Michael E Foley; Münevver Doğramacı; James V Anderson; David P Horvath
Journal:  Funct Integr Genomics       Date:  2011-09-27       Impact factor: 3.410

8.  A new symbolic representation for the identification of informative genes in replicated microarray experiments.

Authors:  Jeremy D Scheff; Richard R Almon; Debra C DuBois; William J Jusko; Ioannis P Androulakis
Journal:  OMICS       Date:  2010-06

9.  Statistical design and analysis of RNA sequencing data.

Authors:  Paul L Auer; R W Doerge
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

10.  MicroRNA-regulated pathways associated with endometriosis.

Authors:  E Maria C Ohlsson Teague; Kylie H Van der Hoek; Mark B Van der Hoek; Naomi Perry; Prabhath Wagaarachchi; Sarah A Robertson; Cristin G Print; Louise M Hull
Journal:  Mol Endocrinol       Date:  2008-12-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.