198 related articles for article (PubMed ID: 23075208)
1. Volcano plots in analyzing differential expressions with mRNA microarrays.
Li W
J Bioinform Comput Biol; 2012 Dec; 10(6):1231003. PubMed ID: 23075208
[TBL] [Abstract][Full Text] [Related]
2. Using volcano plots and regularized-chi statistics in genetic association studies.
Li W; Freudenberg J; Suh YJ; Yang Y
Comput Biol Chem; 2014 Feb; 48():77-83. PubMed ID: 23602812
[TBL] [Abstract][Full Text] [Related]
3. A microarray analysis for differential gene expression in the soybean genome using Bioconductor and R.
Gregory Alvord W; Roayaei JA; Quiñones OA; Schneider KT
Brief Bioinform; 2007 Nov; 8(6):415-31. PubMed ID: 17906332
[TBL] [Abstract][Full Text] [Related]
4. Gaining weights... and feeling good about it!
Wit E; Purutcuoglu V; O'Donovan L; Zhu X
Adv Exp Med Biol; 2007; 593():31-8. PubMed ID: 17265714
[TBL] [Abstract][Full Text] [Related]
5. Differential display in the time of microarrays.
Broude NE
Expert Rev Mol Diagn; 2002 May; 2(3):209-16. PubMed ID: 12050859
[TBL] [Abstract][Full Text] [Related]
6. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.
Baldi P; Long AD
Bioinformatics; 2001 Jun; 17(6):509-19. PubMed ID: 11395427
[TBL] [Abstract][Full Text] [Related]
7. A microarray gene expression study of the molecular pharmacology of lithium carbonate on mouse brain mRNA to understand the neurobiology of mood stabilization and treatment of bipolar affective disorder.
McQuillin A; Rizig M; Gurling HM
Pharmacogenet Genomics; 2007 Aug; 17(8):605-17. PubMed ID: 17622937
[TBL] [Abstract][Full Text] [Related]
8. [The methods of identifying differences in mRNA expression].
Huang W; Fang XD; Zhao WM; Lin QF
Sheng Wu Gong Cheng Xue Bao; 2002 Jul; 18(4):521-4. PubMed ID: 12385257
[TBL] [Abstract][Full Text] [Related]
9. Tests for differential gene expression using weights in oligonucleotide microarray experiments.
Hu P; Beyene J; Greenwood CM
BMC Genomics; 2006 Feb; 7():33. PubMed ID: 16504060
[TBL] [Abstract][Full Text] [Related]
10. Estimating the false discovery rate using nonparametric deconvolution.
van de Wiel MA; Kim KI
Biometrics; 2007 Sep; 63(3):806-15. PubMed ID: 17825012
[TBL] [Abstract][Full Text] [Related]
11. Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments.
Gao X
Bioinformatics; 2006 Jun; 22(12):1486-94. PubMed ID: 16574697
[TBL] [Abstract][Full Text] [Related]
12. Microarray workshop on aging.
Nair PN; Golden T; Melov S
Mech Ageing Dev; 2003 Jan; 124(1):133-8. PubMed ID: 12618016
[TBL] [Abstract][Full Text] [Related]
13. Pre-processing of microarray data and analysis of differential expression.
Durinck S
Methods Mol Biol; 2008; 452():89-110. PubMed ID: 18563370
[TBL] [Abstract][Full Text] [Related]
14. Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression.
Montazeri Z; Yanofsky CM; Bickel DR
Stat Appl Genet Mol Biol; 2010; 9():Article23. PubMed ID: 20597849
[TBL] [Abstract][Full Text] [Related]
15. A new approach for filtering noise from high-density oligonucleotide microarray datasets.
Mills JC; Gordon JI
Nucleic Acids Res; 2001 Aug; 29(15):E72-2. PubMed ID: 11470887
[TBL] [Abstract][Full Text] [Related]
16. Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR -- how well do they correlate?
Dallas PB; Gottardo NG; Firth MJ; Beesley AH; Hoffmann K; Terry PA; Freitas JR; Boag JM; Cummings AJ; Kees UR
BMC Genomics; 2005 Apr; 6():59. PubMed ID: 15854232
[TBL] [Abstract][Full Text] [Related]
17. Selection of differentially expressed genes in microarray data analysis.
Chen JJ; Wang SJ; Tsai CA; Lin CJ
Pharmacogenomics J; 2007 Jun; 7(3):212-20. PubMed ID: 16940966
[TBL] [Abstract][Full Text] [Related]
18. Overview of mRNA expression profiling using DNA microarrays.
Katagiri F; Glazebrook J
Curr Protoc Mol Biol; 2009 Jan; Chapter 22():Unit 22.4. PubMed ID: 19170027
[TBL] [Abstract][Full Text] [Related]
19. Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation.
Comander J; Natarajan S; Gimbrone MA; García-Cardeña G
BMC Genomics; 2004 Feb; 5(1):17. PubMed ID: 15113402
[TBL] [Abstract][Full Text] [Related]
20. Power estimation of the t test for detecting differential gene expression.
Begun A
Funct Integr Genomics; 2008 May; 8(2):109-13. PubMed ID: 17999097
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
