137 related articles for article (PubMed ID: 21516175)
1. Integrated analysis of pharmacologic, clinical and SNP microarray data using Projection Onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing.
Pounds S; Cao X; Cheng C; Yang JJ; Campana D; Pui CH; Evans WE; Relling MV
Int J Data Min Bioinform; 2011; 5(2):143-57. PubMed ID: 21516175
[TBL] [Abstract][Full Text] [Related]
2. PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables.
Pounds S; Cheng C; Cao X; Crews KR; Plunkett W; Gandhi V; Rubnitz J; Ribeiro RC; Downing JR; Lamba J
Bioinformatics; 2009 Aug; 25(16):2013-9. PubMed ID: 19528086
[TBL] [Abstract][Full Text] [Related]
3. CC-PROMISE effectively integrates two forms of molecular data with multiple biologically related endpoints.
Cao X; Crews KR; Downing J; Lamba J; Pounds SB
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):382. PubMed ID: 27766934
[TBL] [Abstract][Full Text] [Related]
4. Assessing consistency between versions of genotype-calling algorithm Birdseed for the Genome-Wide Human SNP Array 6.0 using HapMap samples.
Hong H; Xu L; Tong W
Adv Exp Med Biol; 2010; 680():355-60. PubMed ID: 20865519
[TBL] [Abstract][Full Text] [Related]
5. Avoiding the high Bonferroni penalty in genome-wide association studies.
Gao X; Becker LC; Becker DM; Starmer JD; Province MA
Genet Epidemiol; 2010 Jan; 34(1):100-5. PubMed ID: 19434714
[TBL] [Abstract][Full Text] [Related]
6. Reference alignment of SNP microarray signals for copy number analysis of tumors.
Pounds S; Cheng C; Mullighan C; Raimondi SC; Shurtleff S; Downing JR
Bioinformatics; 2009 Feb; 25(3):315-21. PubMed ID: 19052058
[TBL] [Abstract][Full Text] [Related]
7. Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.
Miclaus K; Chierici M; Lambert C; Zhang L; Vega S; Hong H; Yin S; Furlanello C; Wolfinger R; Goodsaid F
Pharmacogenomics J; 2010 Aug; 10(4):324-35. PubMed ID: 20676070
[TBL] [Abstract][Full Text] [Related]
8. A mixture model-based approach to the clustering of microarray expression data.
McLachlan GJ; Bean RW; Peel D
Bioinformatics; 2002 Mar; 18(3):413-22. PubMed ID: 11934740
[TBL] [Abstract][Full Text] [Related]
9. A new permutation strategy of pathway-based approach for genome-wide association study.
Guo YF; Li J; Chen Y; Zhang LS; Deng HW
BMC Bioinformatics; 2009 Dec; 10():429. PubMed ID: 20021635
[TBL] [Abstract][Full Text] [Related]
10. Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonucleotide microarray and comparison to pediatric acute lymphoblastic leukemia.
Okamoto R; Ogawa S; Nowak D; Kawamata N; Akagi T; Kato M; Sanada M; Weiss T; Haferlach C; Dugas M; Ruckert C; Haferlach T; Koeffler HP
Haematologica; 2010 Sep; 95(9):1481-8. PubMed ID: 20435627
[TBL] [Abstract][Full Text] [Related]
11. Handling multiple testing while interpreting microarrays with the Gene Ontology Database.
Osier MV; Zhao H; Cheung KH
BMC Bioinformatics; 2004 Sep; 5():124. PubMed ID: 15350198
[TBL] [Abstract][Full Text] [Related]
12. Inferential, robust non-negative matrix factorization analysis of microarray data.
Fogel P; Young SS; Hawkins DM; Ledirac N
Bioinformatics; 2007 Jan; 23(1):44-9. PubMed ID: 17092989
[TBL] [Abstract][Full Text] [Related]
13. A multi-array multi-SNP genotyping algorithm for Affymetrix SNP microarrays.
Xiao Y; Segal MR; Yang YH; Yeh RF
Bioinformatics; 2007 Jun; 23(12):1459-67. PubMed ID: 17459966
[TBL] [Abstract][Full Text] [Related]
14. Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association analysis.
Dinu V; Zhao H; Miller PL
J Biomed Inform; 2007 Dec; 40(6):750-60. PubMed ID: 17625973
[TBL] [Abstract][Full Text] [Related]
15. Phenotype prediction by integrative network analysis of SNP and gene expression microarrays.
Chang HH; McGeachie M
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6849-52. PubMed ID: 22255912
[TBL] [Abstract][Full Text] [Related]
16. Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.
Grate LR
BMC Bioinformatics; 2005 Apr; 6():97. PubMed ID: 15826317
[TBL] [Abstract][Full Text] [Related]
17. Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array.
Miclaus K; Wolfinger R; Vega S; Chierici M; Furlanello C; Lambert C; Hong H; Zhang L; Yin S; Goodsaid F
Pharmacogenomics J; 2010 Aug; 10(4):336-46. PubMed ID: 20676071
[TBL] [Abstract][Full Text] [Related]
18. Genetics of pleiotropic effects of dexamethasone.
Ramsey LB; Pounds S; Cheng C; Cao X; Yang W; Smith C; Karol SE; Liu C; Panetta JC; Inaba H; Rubnitz JE; Metzger ML; Ribeiro RC; Sandlund JT; Jeha S; Pui CH; Evans WE; Relling MV
Pharmacogenet Genomics; 2017 Aug; 27(8):294-302. PubMed ID: 28628558
[TBL] [Abstract][Full Text] [Related]
19. CNAnova: a new approach for finding recurrent copy number abnormalities in cancer SNP microarray data.
Ivakhno S; Tavaré S
Bioinformatics; 2010 Jun; 26(11):1395-402. PubMed ID: 20403815
[TBL] [Abstract][Full Text] [Related]
20. SNP array analysis in constitutional and cancer genome diagnostics--copy number variants, genotyping and quality control.
de Leeuw N; Hehir-Kwa JY; Simons A; Geurts van Kessel A; Smeets DF; Faas BH; Pfundt R
Cytogenet Genome Res; 2011; 135(3-4):212-21. PubMed ID: 21934286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
