Connection

BLAZ ZUPAN to Algorithms

This is a "connection" page, showing publications BLAZ ZUPAN has written about Algorithms.
Connection Strength

0.684
  1. VizRank: finding informative data projections in functional genomics by machine learning. Bioinformatics. 2005 Feb 01; 21(3):413-4.
    View in: PubMed
    Score: 0.140
  2. Jumping across biomedical contexts using compressive data fusion. Bioinformatics. 2016 06 15; 32(12):i90-i100.
    View in: PubMed
    Score: 0.079
  3. COLLECTIVE PAIRWISE CLASSIFICATION FOR MULTI-WAY ANALYSIS OF DISEASE AND DRUG DATA. Pac Symp Biocomput. 2016; 21:81-92.
    View in: PubMed
    Score: 0.077
  4. Heterogeneous computing architecture for fast detection of SNP-SNP interactions. BMC Bioinformatics. 2014 Jun 25; 15:216.
    View in: PubMed
    Score: 0.069
  5. Integrative clustering by nonnegative matrix factorization can reveal coherent functional groups from gene profile data. IEEE J Biomed Health Inform. 2015 Mar; 19(2):698-708.
    View in: PubMed
    Score: 0.068
  6. Interest propagation for knowledge extraction and representation. Stud Health Technol Inform. 2013; 186:182-6.
    View in: PubMed
    Score: 0.062
  7. Inference of the molecular mechanism of action from genetic interaction and gene expression data. OMICS. 2010 Aug; 14(4):357-67.
    View in: PubMed
    Score: 0.053
  8. Visualization-based cancer microarray data classification analysis. Bioinformatics. 2007 Aug 15; 23(16):2147-54.
    View in: PubMed
    Score: 0.042
  9. Towards knowledge-based gene expression data mining. J Biomed Inform. 2007 Dec; 40(6):787-802.
    View in: PubMed
    Score: 0.042
  10. FreeViz--an intelligent multivariate visualization approach to explorative analysis of biomedical data. J Biomed Inform. 2007 Dec; 40(6):661-71.
    View in: PubMed
    Score: 0.042
  11. TA-clustering: cluster analysis of gene expression profiles through Temporal Abstractions. Int J Med Inform. 2005 Aug; 74(7-8):505-17.
    View in: PubMed
    Score: 0.009
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.