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Connection

Dan Liviu Nicolae to Algorithms

This is a "connection" page, showing publications Dan Liviu Nicolae has written about Algorithms.
Connection Strength

0.714
  1. PRIMAL: Fast and accurate pedigree-based imputation from sequence data in a founder population. PLoS Comput Biol. 2015 Mar; 11(3):e1004139.
    View in: PubMed
    Score: 0.289
  2. Association studies for untyped markers with TUNA. Bioinformatics. 2008 Feb 01; 24(3):435-7.
    View in: PubMed
    Score: 0.175
  3. Accurate imputation of rare and common variants in a founder population from a small number of sequenced individuals. Genet Epidemiol. 2012 May; 36(4):312-9.
    View in: PubMed
    Score: 0.059
  4. Testing untyped alleles (TUNA)-applications to genome-wide association studies. Genet Epidemiol. 2006 Dec; 30(8):718-27.
    View in: PubMed
    Score: 0.041
  5. GEL: a novel genotype calling algorithm using empirical likelihood. Bioinformatics. 2006 Aug 15; 22(16):1942-7.
    View in: PubMed
    Score: 0.040
  6. MERLIN...and the geneticist's stone? Nat Genet. 2002 Jan; 30(1):3-4.
    View in: PubMed
    Score: 0.029
  7. Parent-of-origin effects on quantitative phenotypes in a large Hutterite pedigree. Commun Biol. 2019; 2:28.
    View in: PubMed
    Score: 0.024
  8. A unified set-based test with adaptive filtering for gene-environment interaction analyses. Biometrics. 2016 06; 72(2):629-38.
    View in: PubMed
    Score: 0.019
  9. Finding disease variants in Mendelian disorders by using sequence data: methods and applications. Am J Hum Genet. 2011 Dec 09; 89(6):701-12.
    View in: PubMed
    Score: 0.014
  10. The missing association: sequencing-based discovery of novel SNPs in VKORC1 and CYP2C9 that affect warfarin dose in African Americans. Clin Pharmacol Ther. 2011 Mar; 89(3):408-15.
    View in: PubMed
    Score: 0.014
  11. Shades of gray: a comparison of linkage disequilibrium between Hutterites and Europeans. Genet Epidemiol. 2010 Feb; 34(2):133-9.
    View in: PubMed
    Score: 0.013
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.