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 *

209 related articles for article (PubMed ID: 17397530)

  • 1. Evaluation of gene-expression clustering via mutual information distance measure.
    Priness I; Maimon O; Ben-Gal I
    BMC Bioinformatics; 2007 Mar; 8():111. PubMed ID: 17397530
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.
    Datta S; Datta S
    BMC Bioinformatics; 2006 Aug; 7():397. PubMed ID: 16945146
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An improved algorithm for clustering gene expression data.
    Bandyopadhyay S; Mukhopadhyay A; Maulik U
    Bioinformatics; 2007 Nov; 23(21):2859-65. PubMed ID: 17720981
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. TimeClust: a clustering tool for gene expression time series.
    Magni P; Ferrazzi F; Sacchi L; Bellazzi R
    Bioinformatics; 2008 Feb; 24(3):430-2. PubMed ID: 18065427
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing algorithms for clustering of expression data: how to assess gene clusters.
    Yona G; Dirks W; Rahman S
    Methods Mol Biol; 2009; 541():479-509. PubMed ID: 19381534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph-based consensus clustering for class discovery from gene expression data.
    Yu Z; Wong HS; Wang H
    Bioinformatics; 2007 Nov; 23(21):2888-96. PubMed ID: 17872912
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Subdimension-based similarity measure for DNA microarray data clustering.
    Lam BS; Yan H
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041906. PubMed ID: 17155095
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic range-based distance measure for microarray expressions and a fast gene-ordering algorithm.
    Ray SS; Bandyopadhyay S; Pal SK
    IEEE Trans Syst Man Cybern B Cybern; 2007 Jun; 37(3):742-9. PubMed ID: 17550128
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Concepts of relative sample outlier (RSO) and weighted sample similarity (WSS) for improving performance of clustering genes: co-function and co-regulation.
    Bhattacharya A; Chowdhury N; De RK
    Int J Data Min Bioinform; 2015; 11(3):314-30. PubMed ID: 26333265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clustering of change patterns using Fourier coefficients.
    Kim J; Kim H
    Bioinformatics; 2008 Jan; 24(2):184-91. PubMed ID: 18025003
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles.
    Bhattacharya A; De RK
    Bioinformatics; 2008 Jun; 24(11):1359-66. PubMed ID: 18407922
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.
    Giancarlo R; Lo Bosco G; Pinello L; Utro F
    BMC Bioinformatics; 2013; 14 Suppl 1(Suppl 1):S6. PubMed ID: 23369037
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A mixture model with random-effects components for clustering correlated gene-expression profiles.
    Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
    Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ParaKMeans: Implementation of a parallelized K-means algorithm suitable for general laboratory use.
    Kraj P; Sharma A; Garge N; Podolsky R; McIndoe RA
    BMC Bioinformatics; 2008 Apr; 9():200. PubMed ID: 18416829
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. The mutual information: detecting and evaluating dependencies between variables.
    Steuer R; Kurths J; Daub CO; Weise J; Selbig J
    Bioinformatics; 2002; 18 Suppl 2():S231-40. PubMed ID: 12386007
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Associative clustering for exploring dependencies between functional genomics data sets.
    Kaski S; Nikkilä J; Sinkkonen J; Lahti L; Knuuttila JE; Roos C
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):203-16. PubMed ID: 17044184
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A method for clustering gene expression data based on graph structure.
    Seno S; Teramoto R; Takenaka Y; Matsuda H
    Genome Inform; 2004; 15(2):151-60. PubMed ID: 15706501
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clustering and re-clustering for pattern discovery in gene expression data.
    Ma PC; Chan KC; Chiu DK
    J Bioinform Comput Biol; 2005 Apr; 3(2):281-301. PubMed ID: 15852506
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.