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Items: 1 to 20 of 74

1.

Integrating functional genomics data using maximum likelihood based simultaneous component analysis.

van den Berg RA, Van Mechelen I, Wilderjans TF, Van Deun K, Kiers HA, Smilde AK.

BMC Bioinformatics. 2009 Oct 16;10:340. doi: 10.1186/1471-2105-10-340.

2.

Simultaneous analysis of coupled data matrices subject to different amounts of noise.

Wilderjans TF, Ceulemans E, Van Mechelen I, van den Berg RA.

Br J Math Stat Psychol. 2011 May;64(Pt 2):277-90. doi: 10.1348/000711010X513263.

PMID:
21492133
3.

DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctive processes.

Van Deun K, Van Mechelen I, Thorrez L, Schouteden M, De Moor B, van der Werf MJ, De Lathauwer L, Smilde AK, Kiers HA.

PLoS One. 2012;7(5):e37840. doi: 10.1371/journal.pone.0037840. Epub 2012 May 31.

4.

Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data.

De Roover K, Ceulemans E, Timmerman ME, Vansteelandt K, Stouten J, Onghena P.

Psychol Methods. 2012 Mar;17(1):100-19. doi: 10.1037/a0025385. Epub 2011 Oct 3.

PMID:
21967686
5.

A GMM-IG framework for selecting genes as expression panel biomarkers.

Wang M, Chen JY.

Artif Intell Med. 2010 Feb-Mar;48(2-3):75-82. doi: 10.1016/j.artmed.2009.07.006. Epub 2009 Dec 8.

PMID:
20004087
6.

A structured overview of simultaneous component based data integration.

Van Deun K, Smilde AK, van der Werf MJ, Kiers HA, Van Mechelen I.

BMC Bioinformatics. 2009 Aug 11;10:246. doi: 10.1186/1471-2105-10-246.

7.

Contribution of genomics to the understanding of physiological functions.

Hocquette JF, Cassar-Malek I, Scalbert A, Guillou F.

J Physiol Pharmacol. 2009 Oct;60 Suppl 3:5-16. Review.

PMID:
19996478
8.

Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets.

Tresch MC, Cheung VC, d'Avella A.

J Neurophysiol. 2006 Apr;95(4):2199-212. Epub 2006 Jan 4.

9.

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
10.

Simplivariate models: ideas and first examples.

Hageman JA, Hendriks MM, Westerhuis JA, van der Werf MJ, Berger R, Smilde AK.

PLoS One. 2008 Sep 23;3(9):e3259. doi: 10.1371/journal.pone.0003259.

11.

Modelling and simulation for metabolomics data analysis.

Mendes P, Camacho D, de la Fuente A.

Biochem Soc Trans. 2005 Dec;33(Pt 6):1427-9.

PMID:
16246137
12.

Matrix correlations for high-dimensional data: the modified RV-coefficient.

Smilde AK, Kiers HA, Bijlsma S, Rubingh CM, van Erk MJ.

Bioinformatics. 2009 Feb 1;25(3):401-5. doi: 10.1093/bioinformatics/btn634. Epub 2008 Dec 10.

PMID:
19073588
13.

CLEAN: CLustering Enrichment ANalysis.

Freudenberg JM, Joshi VK, Hu Z, Medvedovic M.

BMC Bioinformatics. 2009 Jul 29;10:234. doi: 10.1186/1471-2105-10-234.

14.

Equating, or correction for between-block effects with application to body fluid LC-MS and NMR metabolomics data sets.

Draisma HH, Reijmers TH, van der Kloet F, Bobeldijk-Pastorova I, Spies-Faber E, Vogels JT, Meulman JJ, Boomsma DI, van der Greef J, Hankemeier T.

Anal Chem. 2010 Feb 1;82(3):1039-46. doi: 10.1021/ac902346a.

PMID:
20052990
15.

Characterization of 1H NMR spectroscopic data and the generation of synthetic validation sets.

Anderson PE, Raymer ML, Kelly BJ, Reo NV, DelRaso NJ, Doom TE.

Bioinformatics. 2009 Nov 15;25(22):2992-3000. doi: 10.1093/bioinformatics/btp540. Epub 2009 Sep 16.

PMID:
19759199
16.

Analysis of time course 1H NMR metabolomics data by multivariate curve resolution.

Karakach TK, Knight R, Lenz EM, Viant MR, Walter JA.

Magn Reson Chem. 2009 Dec;47 Suppl 1:S105-17. doi: 10.1002/mrc.2535.

PMID:
19899105
17.

Simplivariate models: uncovering the underlying biology in functional genomics data.

Saccenti E, Westerhuis JA, Smilde AK, van der Werf MJ, Hageman JA, Hendriks MM.

PLoS One. 2011;6(6):e20747. doi: 10.1371/journal.pone.0020747. Epub 2011 Jun 16.

18.

Integrating gene and protein expression data: pattern analysis and profile mining.

Cox B, Kislinger T, Emili A.

Methods. 2005 Mar;35(3):303-14. Epub 2005 Jan 12. Review.

PMID:
15722226
19.

Gene set internal coherence in the context of functional profiling.

Montaner D, Minguez P, Al-Shahrour F, Dopazo J.

BMC Genomics. 2009 Apr 27;10:197. doi: 10.1186/1471-2164-10-197.

20.

Statistical validation of megavariate effects in ASCA.

Vis DJ, Westerhuis JA, Smilde AK, van der Greef J.

BMC Bioinformatics. 2007 Aug 30;8:322.

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