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    Results: 1 to 20 of 151

    1.

    Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps.

    Meinicke P, Lingner T, Kaever A, Feussner K, Göbel C, Feussner I, Karlovsky P, Morgenstern B.

    Algorithms Mol Biol. 2008 Jun 26;3:9.PMID: 18582365 [PubMed]Related articlesFree article

    2.

    MarVis: a tool for clustering and visualization of metabolic biomarkers.

    Kaever A, Lingner T, Feussner K, Göbel C, Feussner I, Meinicke P.

    BMC Bioinformatics. 2009 Mar 20;10:92.PMID: 19302701 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.

    Zhu Y, Li H, Miller DJ, Wang Z, Xuan J, Clarke R, Hoffman EP, Wang Y.

    BMC Bioinformatics. 2008 Sep 18;9:383.PMID: 18801195 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Visual MRI: merging information visualization and non-parametric clustering techniques for MRI dataset analysis.

    Castellani U, Cristani M, Combi C, Murino V, Sbarbati A, Marzola P.

    Artif Intell Med. 2008 Nov;44(3):183-99. Epub 2008 Sep 4.PMID: 18775655 [PubMed - indexed for MEDLINE]Related articles

    5.

    UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation.

    Patterson AD, Li H, Eichler GS, Krausz KW, Weinstein JN, Fornace AJ Jr, Gonzalez FJ, Idle JR.

    Anal Chem. 2008 Feb 1;80(3):665-74. Epub 2008 Jan 4.PMID: 18173289 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Ranked centroid projection: a data visualization approach with self-organizing maps.

    Yen GG, Wu Z.

    IEEE Trans Neural Netw. 2008 Feb;19(2):245-59.PMID: 18269956 [PubMed - indexed for MEDLINE]Related articles

    7.

    Improving cluster visualization in self-organizing maps: application in gene expression data analysis.

    Fernandez EA, Balzarini M.

    Comput Biol Med. 2007 Dec;37(12):1677-89. Epub 2007 Jun 4.PMID: 17544390 [PubMed - indexed for MEDLINE]Related articles

    8.

    Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification.

    Kouskoumvekaki I, Yang Z, Jónsdóttir SO, Olsson L, Panagiotou G.

    BMC Bioinformatics. 2008 Jan 28;9:59.PMID: 18226195 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Integrating data clustering and visualization for the analysis of 3D gene expression data.

    Rübel O, Weber GH, Huang MY, Bethel EW, Biggin MD, Fowlkes CC, Luengo Hendriks CL, Keränen SV, Eisen MB, Knowles DW, Malik J, Hagen H, Hamann B.

    IEEE/ACM Trans Comput Biol Bioinform. 2010 Jan-Mar;7(1):64-79.PMID: 20150669 [PubMed - in process]Related articles

    10.

    Exploiting data topology in visualization and clustering of self-organizing maps.

    Taşdemir K, Merényi E.

    IEEE Trans Neural Netw. 2009 Apr;20(4):549-62. Epub 2009 Feb 18.PMID: 19228556 [PubMed]Related articles

    11.

    Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.

    Maulik U, Mukhopadhyay A, Bandyopadhyay S.

    BMC Bioinformatics. 2009 Jan 20;10:27.PMID: 19154590 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Pattern discovery in expression profiling data.

    Katagiri F, Glazebrook J.

    Curr Protoc Mol Biol. 2005 Feb;Chapter 22:Unit 22.5.PMID: 18265360 [PubMed - indexed for MEDLINE]Related articles

    13.

    Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets.

    Astel A, Tsakovski S, Barbieri P, Simeonov V.

    Water Res. 2007 Nov;41(19):4566-78. Epub 2007 Jun 16.PMID: 17632213 [PubMed - indexed for MEDLINE]Related articles

    14.

    Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

    Jaitly N, Mayampurath A, Littlefield K, Adkins JN, Anderson GA, Smith RD.

    BMC Bioinformatics. 2009 Mar 17;10:87.PMID: 19292916 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.

    Draper J, Enot DP, Parker D, Beckmann M, Snowdon S, Lin W, Zubair H.

    BMC Bioinformatics. 2009 Jul 21;10:227.PMID: 19622150 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Towards de novo identification of metabolites by analyzing tandem mass spectra.

    Böcker S, Rasche F.

    Bioinformatics. 2008 Aug 15;24(16):i49-i55.PMID: 18689839 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Self-organizing maps and clustering methods for matrix data.

    Seo S, Obermayer K.

    Neural Netw. 2004 Oct-Nov;17(8-9):1211-29.PMID: 15555862 [PubMed - indexed for MEDLINE]Related articles

    18.

    Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies.

    DiMaggio PA Jr, McAllister SR, Floudas CA, Feng XJ, Rabinowitz JD, Rabitz HA.

    BMC Bioinformatics. 2008 Oct 27;9:458.PMID: 18954459 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Interactive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E. coli.

    Scharl T, Striedner G, Pötschacher F, Leisch F, Bayer K.

    Microb Cell Fact. 2009 Jul 15;8:37.PMID: 19604371 [PubMed - in process]Related articlesFree article

    20.

    Self-organizing maps, vector quantization, and mixture modeling.

    Heskes T.

    IEEE Trans Neural Netw. 2001;12(6):1299-305.PMID: 18249959 [PubMed - in process]Related articles

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