Connection

CHAD CREIGHTON to Algorithms

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

0.224
  1. Mining gene expression databases for association rules. Bioinformatics. 2003 Jan; 19(1):79-86.
    View in: PubMed
    Score: 0.119
  2. A bioinformatics tool for linking gene expression profiling results with public databases of microRNA target predictions. RNA. 2008 Nov; 14(11):2290-6.
    View in: PubMed
    Score: 0.044
  3. A Landscape of Metabolic Variation across Tumor Types. Cell Syst. 2018 Mar 28; 6(3):301-313.e3.
    View in: PubMed
    Score: 0.021
  4. Trans-ancestry mutational landscape of hepatocellular carcinoma genomes. Nat Genet. 2014 Dec; 46(12):1267-73.
    View in: PubMed
    Score: 0.017
  5. Large-scale integration of MicroRNA and gene expression data for identification of enriched microRNA-mRNA associations in biological systems. Methods Mol Biol. 2010; 667:297-315.
    View in: PubMed
    Score: 0.012
  6. Novel microRNA candidates and miRNA-mRNA pairs in embryonic stem (ES) cells. PLoS One. 2008 Jul 02; 3(7):e2548.
    View in: PubMed
    Score: 0.011
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.