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Items: 1 to 20 of 105

1.

Improving the efficiency of multidimensional scaling in the analysis of high-dimensional data using singular value decomposition.

Bécavin C, Tchitchek N, Mintsa-Eya C, Lesne A, Benecke A.

Bioinformatics. 2011 May 15;27(10):1413-21. doi: 10.1093/bioinformatics/btr143. Epub 2011 Mar 17.

PMID:
21421551
2.

Multidimensional scaling for large genomic data sets.

Tzeng J, Lu HH, Li WH.

BMC Bioinformatics. 2008 Apr 4;9:179. doi: 10.1186/1471-2105-9-179.

3.

Visualization and analysis of molecular data.

Scholz M, Selbig J.

Methods Mol Biol. 2007;358:87-104.

PMID:
17035682
4.

Online prediction model based on the SVD-KPCA method.

Elaissi I, Jaffel I, Taouali O, Messaoud H.

ISA Trans. 2013 Jan;52(1):96-104. doi: 10.1016/j.isatra.2012.09.007. Epub 2012 Oct 24.

PMID:
23103049
5.

Defining transcription modules using large-scale gene expression data.

Ihmels J, Bergmann S, Barkai N.

Bioinformatics. 2004 Sep 1;20(13):1993-2003. Epub 2004 Mar 25.

PMID:
15044247
6.

CFMDS: CUDA-based fast multidimensional scaling for genome-scale data.

Park S, Shin SY, Hwang KB.

BMC Bioinformatics. 2012;13 Suppl 17:S23. doi: 10.1186/1471-2105-13-S17-S23. Epub 2012 Dec 13.

7.

Relational patterns of gene expression via non-metric multidimensional scaling analysis.

Taguchi YH, Oono Y.

Bioinformatics. 2005 Mar;21(6):730-40. Epub 2004 Oct 27.

PMID:
15509613
8.

A global geometric framework for nonlinear dimensionality reduction.

Tenenbaum JB, de Silva V, Langford JC.

Science. 2000 Dec 22;290(5500):2319-23.

9.

Comparing geometric and kinetic cluster algorithms for molecular simulation data.

Keller B, Daura X, van Gunsteren WF.

J Chem Phys. 2010 Feb 21;132(7):074110. doi: 10.1063/1.3301140.

PMID:
20170218
10.

Multidimensional support vector machines for visualization of gene expression data.

Komura D, Nakamura H, Tsutsumi S, Aburatani H, Ihara S.

Bioinformatics. 2005 Feb 15;21(4):439-44. Epub 2004 Dec 17.

PMID:
15608050
12.

ECG data compression using truncated singular value decomposition.

Wei JJ, Chang CJ, Chou NK, Jan GJ.

IEEE Trans Inf Technol Biomed. 2001 Dec;5(4):290-9.

PMID:
11759835
13.

A Bayesian missing value estimation method for gene expression profile data.

Oba S, Sato MA, Takemasa I, Monden M, Matsubara K, Ishii S.

Bioinformatics. 2003 Nov 1;19(16):2088-96.

PMID:
14594714
14.

Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.

Xu R, Damelin S, Nadler B, Wunsch DC 2nd.

Artif Intell Med. 2010 Feb-Mar;48(2-3):91-8. doi: 10.1016/j.artmed.2009.06.001. Epub 2009 Dec 4.

PMID:
19962867
15.

Noise reduction in magnetocardiography by singular value decomposition and independent component analysis.

DiPietroPaolo D, Müller HP, Nolte G, Erné SN.

Med Biol Eng Comput. 2006 Jun;44(6):489-99. Epub 2006 May 3.

PMID:
16937200
16.

On multidimensional scaling and the embedding of self-organising maps.

Yin H.

Neural Netw. 2008 Mar-Apr;21(2-3):160-9. doi: 10.1016/j.neunet.2007.12.027. Epub 2007 Dec 27. Erratum in: Neural Netw. 2008 May;21(4):698.

PMID:
18255262
17.
18.

A geodesic framework for analyzing molecular similarities.

Agrafiotis DK, Xu H.

J Chem Inf Comput Sci. 2003 Mar-Apr;43(2):475-84.

PMID:
12653511
19.

Accounting for probe-level noise in principal component analysis of microarray data.

Sanguinetti G, Milo M, Rattray M, Lawrence ND.

Bioinformatics. 2005 Oct 1;21(19):3748-54. Epub 2005 Aug 9.

PMID:
16091409
20.

Robust biclustering by sparse singular value decomposition incorporating stability selection.

Sill M, Kaiser S, Benner A, Kopp-Schneider A.

Bioinformatics. 2011 Aug 1;27(15):2089-97. doi: 10.1093/bioinformatics/btr322. Epub 2011 Jun 2.

PMID:
21636597

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