216 related articles for article (PubMed ID: 24423217)
1. Fold change rank ordering statistics: a new method for detecting differentially expressed genes.
Dembélé D; Kastner P
BMC Bioinformatics; 2014 Jan; 15():14. PubMed ID: 24423217
[TBL] [Abstract][Full Text] [Related]
2. Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes.
Dembélé D; Kastner P
BMC Bioinformatics; 2016 Nov; 17(1):462. PubMed ID: 27846811
[TBL] [Abstract][Full Text] [Related]
3. A Robust Approach for Identification of Cancer Biomarkers and Candidate Drugs.
Shahjaman M; Rahman MR; Islam SMS; Mollah MNH
Medicina (Kaunas); 2019 Jun; 55(6):. PubMed ID: 31212673
[No Abstract] [Full Text] [Related]
4. 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]
5. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
[TBL] [Abstract][Full Text] [Related]
6. Identifying differentially expressed genes from microarray experiments via statistic synthesis.
Yang YH; Xiao Y; Segal MR
Bioinformatics; 2005 Apr; 21(7):1084-93. PubMed ID: 15513985
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Ranking analysis for identifying differentially expressed genes.
Qi Y; Sun H; Sun Q; Pan L
Genomics; 2011 May; 97(5):326-9. PubMed ID: 21402142
[TBL] [Abstract][Full Text] [Related]
10. Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.
Breitling R; Herzyk P
J Bioinform Comput Biol; 2005 Oct; 3(5):1171-89. PubMed ID: 16278953
[TBL] [Abstract][Full Text] [Related]
11. Detecting intergene correlation changes in microarray analysis: a new approach to gene selection.
Hu R; Qiu X; Glazko G; Klebanov L; Yakovlev A
BMC Bioinformatics; 2009 Jan; 10():20. PubMed ID: 19146700
[TBL] [Abstract][Full Text] [Related]
12. A benchmark for statistical microarray data analysis that preserves actual biological and technical variance.
De Hertogh B; De Meulder B; Berger F; Pierre M; Bareke E; Gaigneaux A; Depiereux E
BMC Bioinformatics; 2010 Jan; 11():17. PubMed ID: 20064233
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Covariance thresholding to detect differentially co-expressed genes from microarray gene expression data.
Oh M; Kim K; Sun H
J Bioinform Comput Biol; 2020 Feb; 18(1):2050002. PubMed ID: 32336254
[TBL] [Abstract][Full Text] [Related]
15. Density based pruning for identification of differentially expressed genes from microarray data.
Hu J; Xu J
BMC Genomics; 2010 Nov; 11 Suppl 2(Suppl 2):S3. PubMed ID: 21047384
[TBL] [Abstract][Full Text] [Related]
16. Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.
Silva-Fortes C; Amaral Turkman MA; Sousa L
BMC Bioinformatics; 2012 Jun; 13():147. PubMed ID: 22734592
[TBL] [Abstract][Full Text] [Related]
17. Identification of differentially expressed genes for time-course microarray data based on modified RM ANOVA.
ElBakry O; Ahmad MO; Swamy MN
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(2):451-66. PubMed ID: 21464508
[TBL] [Abstract][Full Text] [Related]
18. Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications.
Yu F; Chen MH; Kuo L; Talbott H; Davis JS
BMC Bioinformatics; 2015 Aug; 16():245. PubMed ID: 26250443
[TBL] [Abstract][Full Text] [Related]
19. The identification of informative genes from multiple datasets with increasing complexity.
Anvar SY; 't Hoen PA; Tucker A
BMC Bioinformatics; 2010 Jan; 11():32. PubMed ID: 20078860
[TBL] [Abstract][Full Text] [Related]
20. The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data.
Mutch DM; Berger A; Mansourian R; Rytz A; Roberts MA
BMC Bioinformatics; 2002 Jun; 3():17. PubMed ID: 12095422
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]