91 related articles for article (PubMed ID: 16249264)
1. ISER: selection of differentially expressed genes from DNA array data by non-linear data transformations and local fitting.
Drummond RD; Pinheiro A; Rocha CS; Menossi M
Bioinformatics; 2005 Dec; 21(24):4427-9. PubMed ID: 16249264
[TBL] [Abstract][Full Text] [Related]
2. Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.
Barrera L; Benner C; Tao YC; Winzeler E; Zhou Y
BMC Bioinformatics; 2004 Apr; 5():42. PubMed ID: 15099405
[TBL] [Abstract][Full Text] [Related]
3. A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data.
Hart CE; Sharenbroich L; Bornstein BJ; Trout D; King B; Mjolsness E; Wold BJ
Nucleic Acids Res; 2005; 33(8):2580-94. PubMed ID: 15886390
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Regularized ROC method for disease classification and biomarker selection with microarray data.
Ma S; Huang J
Bioinformatics; 2005 Dec; 21(24):4356-62. PubMed ID: 16234316
[TBL] [Abstract][Full Text] [Related]
6. Extracting conserved gene expression motifs from gene expression data.
Murali TM; Kasif S
Pac Symp Biocomput; 2003; ():77-88. PubMed ID: 12603019
[TBL] [Abstract][Full Text] [Related]
7. Mass distributed clustering: a new algorithm for repeated measurements in gene expression data.
Matsumoto S; Aisaki K; Kanno J
Genome Inform; 2005; 16(2):183-94. PubMed ID: 16901101
[TBL] [Abstract][Full Text] [Related]
8. CGHPRO -- a comprehensive data analysis tool for array CGH.
Chen W; Erdogan F; Ropers HH; Lenzner S; Ullmann R
BMC Bioinformatics; 2005 Apr; 6():85. PubMed ID: 15807904
[TBL] [Abstract][Full Text] [Related]
9. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
10. Design and evaluation of Actichip, a thematic microarray for the study of the actin cytoskeleton.
Muller J; Mehlen A; Vetter G; Yatskou M; Muller A; Chalmel F; Poch O; Friederich E; Vallar L
BMC Genomics; 2007 Aug; 8():294. PubMed ID: 17727702
[TBL] [Abstract][Full Text] [Related]
11. Co-expression tools for plant biology: opportunities for hypothesis generation and caveats.
Usadel B; Obayashi T; Mutwil M; Giorgi FM; Bassel GW; Tanimoto M; Chow A; Steinhauser D; Persson S; Provart NJ
Plant Cell Environ; 2009 Dec; 32(12):1633-51. PubMed ID: 19712066
[TBL] [Abstract][Full Text] [Related]
12. Linear mixed model selection for false discovery rate control in microarray data analysis.
Demirkale CY; Nettleton D; Maiti T
Biometrics; 2010 Jun; 66(2):621-9. PubMed ID: 19522873
[TBL] [Abstract][Full Text] [Related]
13. Model-based boosting in high dimensions.
Hothorn T; Bühlmann P
Bioinformatics; 2006 Nov; 22(22):2828-9. PubMed ID: 16940323
[TBL] [Abstract][Full Text] [Related]
14. Statistical methods for microarray assays.
Krajewski P; Bocianowski J
J Appl Genet; 2002; 43(3):269-78. PubMed ID: 12177516
[TBL] [Abstract][Full Text] [Related]
15. DNA microarray data and contextual analysis of correlation graphs.
Rougemont J; Hingamp P
BMC Bioinformatics; 2003 Apr; 4():15. PubMed ID: 12720549
[TBL] [Abstract][Full Text] [Related]
16. Bayesian classification and non-Bayesian label estimation via EM algorithm to identify differentially expressed genes: a comparative study.
Antunes M; Sousa L
Biom J; 2008 Oct; 50(5):824-36. PubMed ID: 18932140
[TBL] [Abstract][Full Text] [Related]
17. Reverse engineering genetic networks using evolutionary computation.
Noman N; Iba H
Genome Inform; 2005; 16(2):205-14. PubMed ID: 16901103
[TBL] [Abstract][Full Text] [Related]
18. Nonlinear dimensionality reduction of gene expression data for visualization and clustering analysis of cancer tissue samples.
Shi J; Luo Z
Comput Biol Med; 2010 Aug; 40(8):723-32. PubMed ID: 20637456
[TBL] [Abstract][Full Text] [Related]
19. CIT: identification of differentially expressed clusters of genes from microarray data.
Rhodes DR; Miller JC; Haab BB; Furge KA
Bioinformatics; 2002 Jan; 18(1):205-6. PubMed ID: 11836234
[TBL] [Abstract][Full Text] [Related]
20. Non-linear tests for identifying differentially expressed genes or genetic networks.
Xiong H
Bioinformatics; 2006 Apr; 22(8):919-23. PubMed ID: 16473873
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
