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 *

641 related articles for article (PubMed ID: 26636222)

  • 1. Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithms.
    Shao J; Tanner SW; Thompson N; Cheatham TE
    J Chem Theory Comput; 2007 Nov; 3(6):2312-34. PubMed ID: 26636222
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Conformational and functional analysis of molecular dynamics trajectories by self-organising maps.
    Fraccalvieri D; Pandini A; Stella F; Bonati L
    BMC Bioinformatics; 2011 May; 12():158. PubMed ID: 21569575
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cherry-picking functionally relevant substates from long md trajectories using a stratified sampling approach.
    Chandramouli B; Mancini G
    Theor Biol Forum; 2016 Jan; 109(1-2):49-69. PubMed ID: 29513352
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine-learned cluster identification in high-dimensional data.
    Ultsch A; Lötsch J
    J Biomed Inform; 2017 Feb; 66():95-104. PubMed ID: 28040499
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A fast parallel clustering algorithm for molecular simulation trajectories.
    Zhao Y; Sheong FK; Sun J; Sander P; Huang X
    J Comput Chem; 2013 Jan; 34(2):95-104. PubMed ID: 22996151
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Effective Approach for Clustering InhA Molecular Dynamics Trajectory Using Substrate-Binding Cavity Features.
    De Paris R; Quevedo CV; Ruiz DD; Norberto de Souza O
    PLoS One; 2015; 10(7):e0133172. PubMed ID: 26218832
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
    Grotkjaer T; Winther O; Regenberg B; Nielsen J; Hansen LK
    Bioinformatics; 2006 Jan; 22(1):58-67. PubMed ID: 16257984
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Knowledge-assisted recognition of cluster boundaries in gene expression data.
    Okada Y; Sahara T; Mitsubayashi H; Ohgiya S; Nagashima T
    Artif Intell Med; 2005; 35(1-2):171-83. PubMed ID: 16054350
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cluster analysis of molecular simulation trajectories for systems where both conformation and orientation of the sampled states are important.
    Abramyan TM; Snyder JA; Thyparambil AA; Stuart SJ; Latour RA
    J Comput Chem; 2016 Aug; 37(21):1973-82. PubMed ID: 27292100
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating data mining algorithms using molecular dynamics trajectories.
    Tatsis VA; Tjortjis C; Tzirakis P
    Int J Data Min Bioinform; 2013; 8(2):169-87. PubMed ID: 24010266
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effectiveness of environmental cluster analysis in representing regional species diversity.
    Trakhtenbrot A; Kadmon R
    Conserv Biol; 2006 Aug; 20(4):1087-98. PubMed ID: 16922225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantum clustering and network analysis of MD simulation trajectories to probe the conformational ensembles of protein-ligand interactions.
    Bhattacharyya M; Vishveshwara S
    Mol Biosyst; 2011 Jul; 7(7):2320-30. PubMed ID: 21617814
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient evaluation of sampling quality of molecular dynamics simulations by clustering of dihedral torsion angles and Sammon mapping.
    Frickenhaus S; Kannan S; Zacharias M
    J Comput Chem; 2009 Feb; 30(3):479-92. PubMed ID: 18680215
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Principal component and clustering analysis on molecular dynamics data of the ribosomal L11·23S subdomain.
    Wolf A; Kirschner KN
    J Mol Model; 2013 Feb; 19(2):539-49. PubMed ID: 22961589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fuzzy ensemble clustering based on random projections for DNA microarray data analysis.
    Avogadri R; Valentini G
    Artif Intell Med; 2009; 45(2-3):173-83. PubMed ID: 18801650
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting clusters of different geometrical shapes in microarray gene expression data.
    Kim DW; Lee KH; Lee D
    Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of stability of k-means cluster ensembles with respect to random initialization.
    Kuncheva LI; Vetrov DP
    IEEE Trans Pattern Anal Mach Intell; 2006 Nov; 28(11):1798-808. PubMed ID: 17063684
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of clustering algorithms for gene expression data.
    Datta S; Datta S
    BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S17. PubMed ID: 17217509
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Aerosol time-of-flight mass spectrometry data analysis: a benchmark of clustering algorithms.
    Rebotier TP; Prather KA
    Anal Chim Acta; 2007 Feb; 585(1):38-54. PubMed ID: 17386645
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.