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Items: 1 to 20 of 79

1.

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.

2.

Towards sound epistemological foundations of statistical methods for high-dimensional biology.

Mehta T, Tanik M, Allison DB.

Nat Genet. 2004 Sep;36(9):943-7.

PMID:
15340433
3.

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.

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.

Microarrays--chances and challenges.

Pilarsky CP, Schmitt AO, Dahl E, Rosenthal A.

Curr Opin Mol Ther. 1999 Dec;1(6):727-36. Review.

PMID:
19629870
6.

Genomic approach to biomarker identification and its recent applications.

He YD.

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

PMID:
17192065
7.

Computational biology for cardiovascular biomarker discovery.

Azuaje F, Devaux Y, Wagner D.

Brief Bioinform. 2009 Jul;10(4):367-77. doi: 10.1093/bib/bbp008.

PMID:
19276200
8.

Computational approaches to analysis of DNA microarray data.

Quackenbush J.

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

PMID:
17051302
9.

Microarrays, pattern recognition and exploratory data analysis.

Mertens BJ.

Stat Med. 2003 Jun 15;22(11):1879-99.

PMID:
12754722
10.

Classification with high-dimensional genetic data: assigning patients and genetic features to known classes.

Schwender H, Ickstadt K, Rahnenführer J.

Biom J. 2008 Dec;50(6):911-26. doi: 10.1002/bimj.200810475. Review.

PMID:
19067340
11.
12.

[Development of antituberculous drugs: current status and future prospects].

Tomioka H, Namba K.

Kekkaku. 2006 Dec;81(12):753-74. Review. Japanese.

PMID:
17240921
13.

Empirical bayes methods and false discovery rates for microarrays.

Efron B, Tibshirani R.

Genet Epidemiol. 2002 Jun;23(1):70-86.

PMID:
12112249
14.

Microarray: an approach for current drug targets.

Gomase VS, Tagore S, Kale KV.

Curr Drug Metab. 2008 Mar;9(3):221-31. Review.

PMID:
18336225
15.

Inferential literacy for experimental high-throughput biology.

Miron M, Nadon R.

Trends Genet. 2006 Feb;22(2):84-9. Review.

PMID:
16377025
16.

Computational identification of cellular networks and pathways.

Markowetz F, Troyanskaya OG.

Mol Biosyst. 2007 Jul;3(7):478-82. Review.

PMID:
17579773
17.

Primate comparative genomics: lemur biology and evolution.

Horvath JE, Willard HF.

Trends Genet. 2007 Apr;23(4):173-82. Review.

PMID:
17331617
18.

Identification of differentially expressed genes and false discovery rate in microarray studies.

Gusnanto A, Calza S, Pawitan Y.

Curr Opin Lipidol. 2007 Apr;18(2):187-93. Review.

PMID:
17353668
19.

Uncharacterized/hypothetical proteins in biomedical 'omics' experiments: is novelty being swept under the carpet?

Pawłowski K.

Brief Funct Genomic Proteomic. 2008 Jul;7(4):283-90. doi: 10.1093/bfgp/eln033.

PMID:
18641417
20.

Decoding genes with coexpression networks and metabolomics - 'majority report by precogs'.

Saito K, Hirai MY, Yonekura-Sakakibara K.

Trends Plant Sci. 2008 Jan;13(1):36-43. Review.

PMID:
18160330

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