155 related articles for article (PubMed ID: 18771401)
1. Finding differentially expressed genes in two-channel DNA microarray datasets: how to increase reliability of data preprocessing.
Rotter A; Hren M; Baebler S; Blejec A; Gruden K
OMICS; 2008 Sep; 12(3):171-82. PubMed ID: 18771401
[TBL] [Abstract][Full Text] [Related]
2. The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies.
Shi L; Jones WD; Jensen RV; Harris SC; Perkins RG; Goodsaid FM; Guo L; Croner LJ; Boysen C; Fang H; Qian F; Amur S; Bao W; Barbacioru CC; Bertholet V; Cao XM; Chu TM; Collins PJ; Fan XH; Frueh FW; Fuscoe JC; Guo X; Han J; Herman D; Hong H; Kawasaki ES; Li QZ; Luo Y; Ma Y; Mei N; Peterson RL; Puri RK; Shippy R; Su Z; Sun YA; Sun H; Thorn B; Turpaz Y; Wang C; Wang SJ; Warrington JA; Willey JC; Wu J; Xie Q; Zhang L; Zhang L; Zhong S; Wolfinger RD; Tong W
BMC Bioinformatics; 2008 Aug; 9 Suppl 9(Suppl 9):S10. PubMed ID: 18793455
[TBL] [Abstract][Full Text] [Related]
3. Effect of various normalization methods on Applied Biosystems expression array system data.
Barbacioru CC; Wang Y; Canales RD; Sun YA; Keys DN; Chan F; Poulter KA; Samaha RR
BMC Bioinformatics; 2006 Dec; 7():533. PubMed ID: 17173684
[TBL] [Abstract][Full Text] [Related]
4. The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison.
Sioson AA; Mane SP; Li P; Sha W; Heath LS; Bohnert HJ; Grene R
BMC Bioinformatics; 2006 Apr; 7():215. PubMed ID: 16626497
[TBL] [Abstract][Full Text] [Related]
5. Methods for evaluating gene expression from Affymetrix microarray datasets.
Jiang N; Leach LJ; Hu X; Potokina E; Jia T; Druka A; Waugh R; Kearsey MJ; Luo ZW
BMC Bioinformatics; 2008 Jun; 9():284. PubMed ID: 18559105
[TBL] [Abstract][Full Text] [Related]
6. Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling.
Castillo D; Gálvez JM; Herrera LJ; Román BS; Rojas F; Rojas I
BMC Bioinformatics; 2017 Nov; 18(1):506. PubMed ID: 29157215
[TBL] [Abstract][Full Text] [Related]
7. Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis.
Hoffmann R; Seidl T; Dugas M
Genome Biol; 2002 Jun; 3(7):RESEARCH0033. PubMed ID: 12184807
[TBL] [Abstract][Full Text] [Related]
8. Micro-Analyzer: automatic preprocessing of Affymetrix microarray data.
Guzzi PH; Cannataro M
Comput Methods Programs Biomed; 2013 Aug; 111(2):402-9. PubMed ID: 23731720
[TBL] [Abstract][Full Text] [Related]
9. A regression-based differential expression detection algorithm for microarray studies with ultra-low sample size.
Vasiliu D; Clamons S; McDonough M; Rabe B; Saha M
PLoS One; 2015; 10(3):e0118198. PubMed ID: 25738861
[TBL] [Abstract][Full Text] [Related]
10. Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.
Jeffery IB; Higgins DG; Culhane AC
BMC Bioinformatics; 2006 Jul; 7():359. PubMed ID: 16872483
[TBL] [Abstract][Full Text] [Related]
11. Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition.
Marczyk M; Jaksik R; Polanski A; Polanska J
BMC Bioinformatics; 2013 Mar; 14():101. PubMed ID: 23510016
[TBL] [Abstract][Full Text] [Related]
12. Gene selection with multiple ordering criteria.
Chen JJ; Tsai CA; Tzeng S; Chen CH
BMC Bioinformatics; 2007 Mar; 8():74. PubMed ID: 17338815
[TBL] [Abstract][Full Text] [Related]
13. A new outlier removal approach for cDNA microarray normalization.
Wu Y; Yan L; Liu H; Sun H; Xie H
Biotechniques; 2009 Aug; 47(2):691-2, 694-700. PubMed ID: 19737130
[TBL] [Abstract][Full Text] [Related]
14. Coex-Rank: An approach incorporating co-expression information for combined analysis of microarray data.
Cai J; Keen HL; Sigmund CD; Casavant TL
J Integr Bioinform; 2012 Jul; 9(1):208. PubMed ID: 22842118
[TBL] [Abstract][Full Text] [Related]
15. Gene set enrichment analysis made simple.
Irizarry RA; Wang C; Zhou Y; Speed TP
Stat Methods Med Res; 2009 Dec; 18(6):565-75. PubMed ID: 20048385
[TBL] [Abstract][Full Text] [Related]
16. Identifying differentially expressed genes in time-course microarray experiment without replicate.
Han X; Sung WK; Feng L
J Bioinform Comput Biol; 2007 Apr; 5(2a):281-96. PubMed ID: 17589962
[TBL] [Abstract][Full Text] [Related]
17. Reproducibility of differential gene detection across multiple microarray studies.
Vo TM; Phan JH; Huynh KN; Wang MD
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4231-4. PubMed ID: 18002936
[TBL] [Abstract][Full Text] [Related]
18. Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
Liu H; Tarima S; Borders AS; Getchell TV; Getchell ML; Stromberg AJ
BMC Bioinformatics; 2005 Apr; 6():106. PubMed ID: 15850479
[TBL] [Abstract][Full Text] [Related]
19. GFS: fuzzy preprocessing for effective gene expression analysis.
Belorkar A; Wong L
BMC Bioinformatics; 2016 Dec; 17(Suppl 17):540. PubMed ID: 28155629
[TBL] [Abstract][Full Text] [Related]
20. Mixture-model based estimation of gene expression variance from public database improves identification of differentially expressed genes in small sized microarray data.
Kim M; Cho SB; Kim JH
Bioinformatics; 2010 Feb; 26(4):486-92. PubMed ID: 20015947
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]