The University of Chicago Header Logo

Connection

T. Conrad Gilliam to Models, Genetic

This is a "connection" page, showing publications T. Conrad Gilliam has written about Models, Genetic.
Connection Strength

0.215
  1. Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network. Genome Res. 2008 Jul; 18(7):1150-62.
    View in: PubMed
    Score: 0.053
  2. Molecular triangulation: bridging linkage and molecular-network information for identifying candidate genes in Alzheimer's disease. Proc Natl Acad Sci U S A. 2004 Oct 19; 101(42):15148-53.
    View in: PubMed
    Score: 0.041
  3. Bioinformatic analysis of autism positional candidate genes using biological databases and computational gene network prediction. Genes Brain Behav. 2003 Oct; 2(5):303-20.
    View in: PubMed
    Score: 0.039
  4. Disease gene prioritization using network and feature. J Comput Biol. 2015 Apr; 22(4):313-23.
    View in: PubMed
    Score: 0.021
  5. Mapping psychiatric disease genes: impact of new molecular strategies. J Psychiatr Res. 1992 Oct; 26(4):309-26.
    View in: PubMed
    Score: 0.018
  6. Fine mapping of candidate regions for bipolar disorder provides strong evidence for susceptibility loci on chromosomes 7q. Am J Med Genet B Neuropsychiatr Genet. 2011 Mar; 156(2):168-76.
    View in: PubMed
    Score: 0.016
  7. Rapid selection response for contextual fear conditioning in a cross between C57BL/6J and A/J: behavioral, QTL and gene expression analysis. Behav Genet. 2008 May; 38(3):277-91.
    View in: PubMed
    Score: 0.013
  8. A genomewide screen of 345 families for autism-susceptibility loci. Am J Hum Genet. 2003 Oct; 73(4):886-97.
    View in: PubMed
    Score: 0.010
  9. Molecular and statistical approaches to the detection and correction of errors in genotype databases. Am J Hum Genet. 1993 Nov; 53(5):1137-45.
    View in: PubMed
    Score: 0.005
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.