These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 19302701)

  • 1. 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; 10():92. PubMed ID: 19302701
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 3():9. PubMed ID: 18582365
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrative study of Arabidopsis thaliana metabolomic and transcriptomic data with the interactive MarVis-Graph software.
    Landesfeind M; Kaever A; Feussner K; Thurow C; Gatz C; Feussner I; Meinicke P
    PeerJ; 2014; 2():e239. PubMed ID: 24688832
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MarVis-Pathway: integrative and exploratory pathway analysis of non-targeted metabolomics data.
    Kaever A; Landesfeind M; Feussner K; Mosblech A; Heilmann I; Morgenstern B; Feussner I; Meinicke P
    Metabolomics; 2015; 11(3):764-777. PubMed ID: 25972773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MarVis-Filter: ranking, filtering, adduct and isotope correction of mass spectrometry data.
    Kaever A; Landesfeind M; Possienke M; Feussner K; Feussner I; Meinicke P
    J Biomed Biotechnol; 2012; 2012():263910. PubMed ID: 22550397
    [TBL] [Abstract][Full Text] [Related]  

  • 6. jClust: a clustering and visualization toolbox.
    Pavlopoulos GA; Moschopoulos CN; Hooper SD; Schneider R; Kossida S
    Bioinformatics; 2009 Aug; 25(15):1994-6. PubMed ID: 19454618
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Visualization methods for statistical analysis of microarray clusters.
    Hibbs MA; Dirksen NC; Li K; Troyanskaya OG
    BMC Bioinformatics; 2005 May; 6():115. PubMed ID: 15890080
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 9():383. PubMed ID: 18801195
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Attribute clustering for grouping, selection, and classification of gene expression data.
    Au WH; Chan KC; Wong AK; Wang Y
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):83-101. PubMed ID: 17044174
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advanced visualization of self-organizing maps with vector fields.
    Pölzlbauer G; Dittenbach M; Rauber A
    Neural Netw; 2006; 19(6-7):911-22. PubMed ID: 16782304
    [TBL] [Abstract][Full Text] [Related]  

  • 11. *omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants.
    Milone DH; Stegmayer GS; Kamenetzky L; López M; Lee JM; Giovannoni JJ; Carrari F
    BMC Bioinformatics; 2010 Aug; 11():438. PubMed ID: 20796314
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clustering of gene expression data: performance and similarity analysis.
    Yin L; Huang CH; Ni J
    BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S19. PubMed ID: 17217511
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Topology-based hierarchical clustering of self-organizing maps.
    Taşdemir K; Milenov P; Tapsall B
    IEEE Trans Neural Netw; 2011 Mar; 22(3):474-85. PubMed ID: 21356611
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Co-clustering and visualization of gene expression data and gene ontology terms for Saccharomyces cerevisiae using self-organizing maps.
    Brameier M; Wiuf C
    J Biomed Inform; 2007 Apr; 40(2):160-73. PubMed ID: 16824804
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Binary tree-structured vector quantization approach to clustering and visualizing microarray data.
    Sultan M; Wigle DA; Cumbaa CA; Maziarz M; Glasgow J; Tsao MS; Jurisica I
    Bioinformatics; 2002; 18 Suppl 1():S111-9. PubMed ID: 12169538
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Poisson-based self-organizing feature maps and hierarchical clustering for serial analysis of gene expression data.
    Wang H; Zheng H; Azuaje F
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(2):163-75. PubMed ID: 17473311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GOurmet: a tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributions.
    Doherty JM; Carmichael LK; Mills JC
    BMC Bioinformatics; 2006 Mar; 7():151. PubMed ID: 16545118
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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. PubMed ID: 18775655
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene ARMADA: an integrated multi-analysis platform for microarray data implemented in MATLAB.
    Chatziioannou A; Moulos P; Kolisis FN
    BMC Bioinformatics; 2009 Oct; 10():354. PubMed ID: 19860866
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.