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Results: 1 to 20 of 88

Similar articles for PubMed (Select 23185396)

1.

Tissue specific electrochemical fingerprinting.

Sobrova P, Vyslouzilova L, Stepankova O, Ryvolova M, Anyz J, Trnkova L, Adam V, Hubalek J, Kizek R.

PLoS One. 2012;7(11):e49654. doi: 10.1371/journal.pone.0049654. Epub 2012 Nov 19.

2.

Comprehensive decision tree models in bioinformatics.

Stiglic G, Kocbek S, Pernek I, Kokol P.

PLoS One. 2012;7(3):e33812. doi: 10.1371/journal.pone.0033812. Epub 2012 Mar 30.

4.

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

Higgs BW, Weller J, Solka JL.

BMC Bioinformatics. 2006 Feb 16;7:74.

5.

A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.

Sampson DL, Parker TJ, Upton Z, Hurst CP.

PLoS One. 2011;6(9):e24973. doi: 10.1371/journal.pone.0024973. Epub 2011 Sep 28.

6.

Bioinformatics in proteomics: application, terminology, and pitfalls.

Wiemer JC, Prokudin A.

Pathol Res Pract. 2004;200(2):173-8. Review.

PMID:
15237926
7.

Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.

Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.

BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

PMID:
21435154
8.

Metabolomics technology and bioinformatics.

Shulaev V.

Brief Bioinform. 2006 Jun;7(2):128-39. Epub 2006 May 18. Review.

9.

Statistical methods and models for bridging Omics data levels.

Rogers S.

Methods Mol Biol. 2011;719:133-51. doi: 10.1007/978-1-61779-027-0_6.

PMID:
21370082
10.

A gentle guide to the analysis of metabolomic data.

Steuer R, Morgenthal K, Weckwerth W, Selbig J.

Methods Mol Biol. 2007;358:105-26. Review.

PMID:
17035683
11.

Proteome informatics I: bioinformatics tools for processing experimental data.

Palagi PM, Hernandez P, Walther D, Appel RD.

Proteomics. 2006 Oct;6(20):5435-44. Review.

PMID:
16991191
12.

Bioinformatics in proteomics.

Blueggel M, Chamrad D, Meyer HE.

Curr Pharm Biotechnol. 2004 Feb;5(1):79-88. Review.

PMID:
14965211
13.

Protein classification based on text document classification techniques.

Cheng BY, Carbonell JG, Klein-Seetharaman J.

Proteins. 2005 Mar 1;58(4):955-70.

PMID:
15645499
15.

A study of spectral integration and normalization in NMR-based metabonomic analyses.

Webb-Robertson BJ, Lowry DF, Jarman KH, Harbo SJ, Meng QR, Fuciarelli AF, Pounds JG, Lee KM.

J Pharm Biomed Anal. 2005 Sep 15;39(3-4):830-6.

PMID:
15990265
16.

Unbiased descriptor and parameter selection confirms the potential of proteochemometric modelling.

Freyhult E, Prusis P, Lapinsh M, Wikberg JE, Moulton V, Gustafsson MG.

BMC Bioinformatics. 2005 Mar 10;6:50.

18.

PROTEINCHALLENGE: crowd sourcing in proteomics analysis and software development.

Martin SF, Falkenberg H, Dyrlund TF, Khoudoli GA, Mageean CJ, Linding R.

J Proteomics. 2013 Aug 2;88:41-6. doi: 10.1016/j.jprot.2012.11.014. Epub 2012 Dec 7. Review.

19.

Subgroup analyses in randomised controlled trials: quantifying the risks of false-positives and false-negatives.

Brookes ST, Whitley E, Peters TJ, Mulheran PA, Egger M, Davey Smith G.

Health Technol Assess. 2001;5(33):1-56. Review.

20.

Tissue compartment analysis for biomarker discovery by gene expression profiling.

Disset A, Cheval L, Soutourina O, Duong Van Huyen JP, Li G, Genin C, Tostain J, Loupy A, Doucet A, Rajerison R.

PLoS One. 2009 Nov 10;4(11):e7779. doi: 10.1371/journal.pone.0007779.

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