216 related articles for article (PubMed ID: 24423217)
21. A non-transformation method for identifying differentially expressed genes from cDNA microarrays.
Zhang JG; Yin ZJ; Zhang Q
Yi Chuan Xue Bao; 2006 Jan; 33(1):80-8. PubMed ID: 16450591
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Bayesian hierarchical error model for analysis of gene expression data.
Cho H; Lee JK
Bioinformatics; 2004 Sep; 20(13):2016-25. PubMed ID: 15044230
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes.
Vaes E; Khan M; Mombaerts P
BMC Bioinformatics; 2014 Feb; 15():39. PubMed ID: 24495268
[TBL] [Abstract][Full Text] [Related]
26. Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments.
Liu T; Lin N; Shi N; Zhang B
BMC Bioinformatics; 2009 May; 10():146. PubMed ID: 19445669
[TBL] [Abstract][Full Text] [Related]
27. Microarray data analysis: a practical approach for selecting differentially expressed genes.
Mutch DM; Berger A; Mansourian R; Rytz A; Roberts MA
Genome Biol; 2001; 2(12):PREPRINT0009. PubMed ID: 11790248
[TBL] [Abstract][Full Text] [Related]
28. Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control.
Finocchiaro G; Mancuso F; Muller H
BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S14. PubMed ID: 16351740
[TBL] [Abstract][Full Text] [Related]
29. Robust gene selection methods using weighting schemes for microarray data analysis.
Kang S; Song J
BMC Bioinformatics; 2017 Sep; 18(1):389. PubMed ID: 28865426
[TBL] [Abstract][Full Text] [Related]
30. Modeling nonlinearity in dilution design microarray data.
Zheng X; Huang HC; Li W; Liu P; Li QZ; Liu Y
Bioinformatics; 2007 Jun; 23(11):1339-47. PubMed ID: 17237040
[TBL] [Abstract][Full Text] [Related]
31. Combinatorial optimization models for finding genetic signatures from gene expression datasets.
Berretta R; Costa W; Moscato P
Methods Mol Biol; 2008; 453():363-77. PubMed ID: 18712314
[TBL] [Abstract][Full Text] [Related]
32. M-BISON: microarray-based integration of data sources using networks.
Daigle BJ; Altman RB
BMC Bioinformatics; 2008 Apr; 9():214. PubMed ID: 18439292
[TBL] [Abstract][Full Text] [Related]
33. Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models.
Hu P; Greenwood CM; Beyene J
BMC Bioinformatics; 2005 May; 6():128. PubMed ID: 15921507
[TBL] [Abstract][Full Text] [Related]
34. Support vector machine quantile regression for detecting differentially expressed genes in microarray analysis.
Sohn I; Kim S; Hwang C; Lee JW; Shim J
Methods Inf Med; 2008; 47(5):459-67. PubMed ID: 18852921
[TBL] [Abstract][Full Text] [Related]
35. A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data.
Najarian K; Zaheri M; Rad AA; Najarian S; Dargahi J
BMC Bioinformatics; 2004 Dec; 5():201. PubMed ID: 15603585
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Hybrid Framework Using Multiple-Filters and an Embedded Approach for an Efficient Selection and Classification of Microarray Data.
Bonilla-Huerta E; Hernández-Montiel A; Caporal RM; López MA
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):12-26. PubMed ID: 26336138
[TBL] [Abstract][Full Text] [Related]
38. A spline function approach for detecting differentially expressed genes in microarray data analysis.
He W
Bioinformatics; 2004 Nov; 20(17):2954-63. PubMed ID: 15180936
[TBL] [Abstract][Full Text] [Related]
39. Nonparametric methods for identifying differentially expressed genes in microarray data.
Troyanskaya OG; Garber ME; Brown PO; Botstein D; Altman RB
Bioinformatics; 2002 Nov; 18(11):1454-61. PubMed ID: 12424116
[TBL] [Abstract][Full Text] [Related]
40. Finding multiple coherent biclusters in microarray data using variable string length multiobjective genetic algorithm.
Maulik U; Mukhopadhyay A; Bandyopadhyay S
IEEE Trans Inf Technol Biomed; 2009 Nov; 13(6):969-75. PubMed ID: 19304489
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
