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Similar articles for PubMed (Select 19588106)

1.

Challenges and approaches to statistical design and inference in high-dimensional investigations.

Gadbury GL, Garrett KA, Allison DB.

Methods Mol Biol. 2009;553:181-206. doi: 10.1007/978-1-60327-563-7_9. Review.

PMID:
19588106
2.

Epistemological issues in omics and high-dimensional biology: give the people what they want.

Mehta TS, Zakharkin SO, Gadbury GL, Allison DB.

Physiol Genomics. 2006 Dec 13;28(1):24-32. Epub 2006 Sep 12.

3.

Incorporating the empirical null hypothesis into the Benjamini-Hochberg procedure.

Ghosh D.

Stat Appl Genet Mol Biol. 2012 Jul 26;11(4). pii: /j/sagmb.2012.11.issue-4/1544-6115.1735/1544-6115.1735.xml. doi: 10.1515/1544-6115.1735. Review.

PMID:
22850065
4.

Functional genomics and proteomics in the clinical neurosciences: data mining and bioinformatics.

Phan JH, Quo CF, Wang MD.

Prog Brain Res. 2006;158:83-108. Review.

PMID:
17027692
5.

Statistical challenges in preprocessing in microarray experiments in cancer.

Owzar K, Barry WT, Jung SH, Sohn I, George SL.

Clin Cancer Res. 2008 Oct 1;14(19):5959-66. doi: 10.1158/1078-0432.CCR-07-4532. Review.

6.

A statistical perspective on gene expression data analysis.

Satagopan JM, Panageas KS.

Stat Med. 2003 Feb 15;22(3):481-99. Review.

PMID:
12529876
7.

Bioconductor: an open source framework for bioinformatics and computational biology.

Reimers M, Carey VJ.

Methods Enzymol. 2006;411:119-34. Review.

PMID:
16939789
8.

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 10;6:26.

9.

HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data.

Trivedi P, Edwards JW, Wang J, Gadbury GL, Srinivasasainagendra V, Zakharkin SO, Kim K, Mehta T, Brand JP, Patki A, Page GP, Allison DB.

BMC Bioinformatics. 2005 Apr 6;6:86.

10.

Identifying actives from HTS data sets: practical approaches for the selection of an appropriate HTS data-processing method and quality control review.

Shun TY, Lazo JS, Sharlow ER, Johnston PA.

J Biomol Screen. 2011 Jan;16(1):1-14. doi: 10.1177/1087057110389039. Epub 2010 Dec 15.

PMID:
21160066
11.

Analysis of DNA microarray data.

Hackl H, Sanchez Cabo F, Sturn A, Wolkenhauer O, Trajanoski Z.

Curr Top Med Chem. 2004;4(13):1357-70. Review.

PMID:
15379650
12.

Systems analysis of high-throughput data.

Braun R.

Adv Exp Med Biol. 2014;844:153-87. doi: 10.1007/978-1-4939-2095-2_8. Review.

13.

Bioinformatics/biostatistics: microarray analysis.

Eichler GS.

Methods Mol Biol. 2012;823:347-58. doi: 10.1007/978-1-60327-216-2_22.

PMID:
22081356
14.

Experimental design and statistical methods for improved hit detection in high-throughput screening.

Malo N, Hanley JA, Carlile G, Liu J, Pelletier J, Thomas D, Nadon R.

J Biomol Screen. 2010 Sep;15(8):990-1000. doi: 10.1177/1087057110377497.

PMID:
20817887
15.

Effective analysis of genomic data.

Nelson PR, Goulter AB, Davis RJ.

Methods Mol Med. 2005;104:285-312.

PMID:
15454674
16.

Genomic approach to biomarker identification and its recent applications.

He YD.

Cancer Biomark. 2006;2(3-4):103-33. Review.

PMID:
17192065
18.

Optimal allocation of replicates for measurement evaluation studies.

Zakharkin SO, Kim K, Bartolucci AA, Page GP, Allison DB.

Genomics Proteomics Bioinformatics. 2006 Aug;4(3):196-202.

19.

Computational approaches to analysis of DNA microarray data.

Quackenbush J.

Yearb Med Inform. 2006:91-103. Review.

PMID:
17051302
20.

Spectral embedding finds meaningful (relevant) structure in image and microarray data.

Higgs BW, Weller J, Solka JL.

BMC Bioinformatics. 2006 Feb 16;7:74.

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