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: 23409186)

  • 1. Paradigm of tunable clustering using Binarization of Consensus Partition Matrices (Bi-CoPaM) for gene discovery.
    Abu-Jamous B; Fa R; Roberts DJ; Nandi AK
    PLoS One; 2013; 8(2):e56432. PubMed ID: 23409186
    [TBL] [Abstract][Full Text] [Related]  

  • 2. UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets.
    Abu-Jamous B; Fa R; Roberts DJ; Nandi AK
    BMC Bioinformatics; 2015 Jun; 16():184. PubMed ID: 26040489
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis.
    Abu-Jamous B; Fa R; Roberts DJ; Nandi AK
    BMC Bioinformatics; 2014 Sep; 15(1):322. PubMed ID: 25267386
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Yeast gene CMR1/YDL156W is consistently co-expressed with genes participating in DNA-metabolic processes in a variety of stringent clustering experiments.
    Abu-Jamous B; Fa R; Roberts DJ; Nandi AK
    J R Soc Interface; 2013 Apr; 10(81):20120990. PubMed ID: 23349438
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rough-fuzzy clustering for grouping functionally similar genes from microarray data.
    Maji P; Paul S
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):286-99. PubMed ID: 22848138
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.
    Yu Z; Chen H; You J; Liu J; Wong HS; Han G; Li L
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(4):887-901. PubMed ID: 26357330
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An interactive approach to multiobjective clustering of gene expression patterns.
    Mukhopadhyay A; Maulik U; Bandyopadhyay S
    IEEE Trans Biomed Eng; 2013 Jan; 60(1):35-41. PubMed ID: 23033427
    [TBL] [Abstract][Full Text] [Related]  

  • 8. FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data.
    Fu L; Medico E
    BMC Bioinformatics; 2007 Jan; 8():3. PubMed ID: 17204155
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new validity measure for a correlation-based fuzzy c-means clustering algorithm.
    Zhang M; Zhang W; Sicotte H; Yang P
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3865-8. PubMed ID: 19963601
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.
    Maulik U; Mukhopadhyay A; Bandyopadhyay S
    BMC Bioinformatics; 2009 Jan; 10():27. PubMed ID: 19154590
    [TBL] [Abstract][Full Text] [Related]  

  • 11. NIFTI: an evolutionary approach for finding number of clusters in microarray data.
    Jonnalagadda S; Srinivasan R
    BMC Bioinformatics; 2009 Jan; 10():40. PubMed ID: 19178750
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Partial mixture model for tight clustering of gene expression time-course.
    Yuan Y; Li CT; Wilson R
    BMC Bioinformatics; 2008 Jun; 9():287. PubMed ID: 18564420
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Metric for measuring the effectiveness of clustering of DNA microarray expression.
    Loganantharaj R; Cheepala S; Clifford J
    BMC Bioinformatics; 2006 Sep; 7 Suppl 2(Suppl 2):S5. PubMed ID: 17118148
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clustering binary fingerprint vectors with missing values for DNA array data analysis.
    Figueroa A; Borneman J; Jiang T
    Proc IEEE Comput Soc Bioinform Conf; 2003; 2():38-47. PubMed ID: 16452777
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Knowledge based cluster ensemble for cancer discovery from biomolecular data.
    Yu Z; Wongb HS; You J; Yang Q; Liao H
    IEEE Trans Nanobioscience; 2011 Jun; 10(2):76-85. PubMed ID: 21742574
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies.
    DiMaggio PA; McAllister SR; Floudas CA; Feng XJ; Rabinowitz JD; Rabitz HA
    BMC Bioinformatics; 2008 Oct; 9():458. PubMed ID: 18954459
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of Semisupervised Clustering and Feature-Selection Techniques for Identification of Co-expressed Genes.
    Saha S; Alok AK; Ekbal A
    IEEE J Biomed Health Inform; 2016 Jul; 20(4):1171-7. PubMed ID: 26208367
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fuzzy c-means clustering with prior biological knowledge.
    Tari L; Baral C; Kim S
    J Biomed Inform; 2009 Feb; 42(1):74-81. PubMed ID: 18595779
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene expression data clustering using a multiobjective symmetry based clustering technique.
    Saha S; Ekbal A; Gupta K; Bandyopadhyay S
    Comput Biol Med; 2013 Nov; 43(11):1965-77. PubMed ID: 24209942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cluster analysis of gene expression data based on self-splitting and merging competitive learning.
    Wu S; Liew AW; Yan H; Yang M
    IEEE Trans Inf Technol Biomed; 2004 Mar; 8(1):5-15. PubMed ID: 15055797
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.