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Connection

Alla Gimelfarb to Selection, Genetic

This is a "connection" page, showing publications Alla Gimelfarb has written about Selection, Genetic.
Connection Strength

0.773
  1. Genetic variation maintained in multilocus models of additive quantitative traits under stabilizing selection. Genetics. 1999 Jun; 152(2):807-20.
    View in: PubMed
    Score: 0.129
  2. Some additional results about polymorphisms in models of an additive quantitative trait under stabilizing selection. J Math Biol. 1996 Nov; 35(1):88-96.
    View in: PubMed
    Score: 0.107
  3. Simulation of marker assisted selection for non-additive traits. Genet Res. 1994 Oct; 64(2):127-36.
    View in: PubMed
    Score: 0.093
  4. Simulation of marker assisted selection in hybrid populations. Genet Res. 1994 Feb; 63(1):39-47.
    View in: PubMed
    Score: 0.089
  5. Pleiotropy and multilocus polymorphisms. Genetics. 1992 Jan; 130(1):223-7.
    View in: PubMed
    Score: 0.077
  6. Genotypic variation for a quantitative character maintained under stabilizing selection without mutations: epistasis. Genetics. 1989 Sep; 123(1):217-27.
    View in: PubMed
    Score: 0.065
  7. Age differences between distributions of genotypes among pregnant women: evidence of fertility selection. Genet Res. 1989 Jun; 53(3):207-14.
    View in: PubMed
    Score: 0.064
  8. Multiplicative genotype-environment interaction as a cause of reversed response to directional selection. Genetics. 1986 Sep; 114(1):333-43.
    View in: PubMed
    Score: 0.053
  9. Additive variation maintained under stabilizing selection: a two-locus model of pleiotropy for two quantitative characters. Genetics. 1986 Mar; 112(3):717-25.
    View in: PubMed
    Score: 0.051
  10. Stable equilibria in multilocus genetic systems: a statistical investigation. Theor Popul Biol. 1998 Oct; 54(2):133-45.
    View in: PubMed
    Score: 0.031
  11. A remark on the generalized effects of assortative mating. Behav Genet. 1986 Jul; 16(4):433-8.
    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.