189 related articles for article (PubMed ID: 18048648)
1. MOST: detecting cancer differential gene expression.
Lian H
Biostatistics; 2008 Jul; 9(3):411-8. PubMed ID: 18048648
[TBL] [Abstract][Full Text] [Related]
2. Cancer outlier differential gene expression detection.
Wu B
Biostatistics; 2007 Jul; 8(3):566-75. PubMed ID: 17021278
[TBL] [Abstract][Full Text] [Related]
3. Multi-group cancer outlier differential gene expression detection.
Liu F; Wu B
Comput Biol Chem; 2007 Apr; 31(2):65-71. PubMed ID: 17392030
[TBL] [Abstract][Full Text] [Related]
4. Outlier sums for differential gene expression analysis.
Tibshirani R; Hastie T
Biostatistics; 2007 Jan; 8(1):2-8. PubMed ID: 16702229
[TBL] [Abstract][Full Text] [Related]
5. DNA microarrays in pediatric cancer.
Triche TJ; Schofield D; Buckley J
Cancer J; 2001; 7(1):2-15. PubMed ID: 11269644
[TBL] [Abstract][Full Text] [Related]
6. Determination of the differentially expressed genes in microarray experiments using local FDR.
Aubert J; Bar-Hen A; Daudin JJ; Robin S
BMC Bioinformatics; 2004 Sep; 5():125. PubMed ID: 15350197
[TBL] [Abstract][Full Text] [Related]
7. The clustering of regression models method with applications in gene expression data.
Qin LX; Self SG
Biometrics; 2006 Jun; 62(2):526-33. PubMed ID: 16918917
[TBL] [Abstract][Full Text] [Related]
8. Exploratory data analysis of DNA microarrays by multivariate curve resolution.
Jaumot J; Tauler R; Gargallo R
Anal Biochem; 2006 Nov; 358(1):76-89. PubMed ID: 16962983
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Tumor classification ranking from microarray data.
Hewett R; Kijsanayothin P
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
[TBL] [Abstract][Full Text] [Related]
11. An enhanced quantile approach for assessing differential gene expressions.
Wang H; He X
Biometrics; 2008 Jun; 64(2):449-57. PubMed ID: 18325069
[TBL] [Abstract][Full Text] [Related]
12. A unified approach for simultaneous gene clustering and differential expression identification.
Yuan M; Kendziorski C
Biometrics; 2006 Dec; 62(4):1089-98. PubMed ID: 17156283
[TBL] [Abstract][Full Text] [Related]
13. A new classification model with simple decision rule for discovering optimal feature gene pairs.
Li J; Tang X
Comput Biol Med; 2007 Nov; 37(11):1637-46. PubMed ID: 17482157
[TBL] [Abstract][Full Text] [Related]
14. Robust depth-based tools for the analysis of gene expression data.
López-Pintado S; Romo J; Torrente A
Biostatistics; 2010 Apr; 11(2):254-64. PubMed ID: 20064844
[TBL] [Abstract][Full Text] [Related]
15. Adaptive trimmed t-statistics for identifying predominantly high expression in a microarray experiment.
Gleiss A; Sanchez-Cabo F; Perco P; Tong D; Heinze G
Stat Med; 2011 Jan; 30(1):52-61. PubMed ID: 20963766
[TBL] [Abstract][Full Text] [Related]
16. A tail strength measure for assessing the overall univariate significance in a dataset.
Taylor J; Tibshirani R
Biostatistics; 2006 Apr; 7(2):167-81. PubMed ID: 16332926
[TBL] [Abstract][Full Text] [Related]
17. A stable iterative method for refining discriminative gene clusters.
Xu M; Zhu M; Zhang L
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S18. PubMed ID: 18831783
[TBL] [Abstract][Full Text] [Related]
18. Assessing differential gene expression with small sample sizes in oligonucleotide arrays using a mean-variance model.
Hu J; Wright FA
Biometrics; 2007 Mar; 63(1):41-9. PubMed ID: 17447928
[TBL] [Abstract][Full Text] [Related]
19. Robust semiparametric microarray normalization and significance analysis.
Ma S; Kosorok MR; Huang J; Xie H; Manzella L; Soares MB
Biometrics; 2006 Jun; 62(2):555-61. PubMed ID: 16918920
[TBL] [Abstract][Full Text] [Related]
20. An improved nonparametric approach for detecting differentially expressed genes with replicated microarray data.
Zhang S
Stat Appl Genet Mol Biol; 2006; 5():Article30. PubMed ID: 17402914
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]