Selection Coefficient Estimation

Selection Coefficient Estimation is a methodological framework in temporal population genetics that quantifies the relative fitness difference between genotypes by inferring the strength and direction of natural selection from allele frequency changes across time-series genomic data.

111

Publications

16.9K

Citations

323

Authors

171

Institutions

Publications per year

2017–2026

25

Authors

323

  1. RN
    Rasmus Nielsen

    University of California, Berkeley, United States

    6 publications · 2K citations

    6

    h-index

  2. IM
    Iain Mathieson

    University of Pennsylvania, United States

    5 publications · 267 citations

    5

    h-index

  3. DL
    Daniel L. Hartl

    Harvard University, United States

    4 publications · 1.2K citations

    4

    h-index

  4. ML
    Michael Lynch

    Indiana University Bloomington, United States

    4 publications · 242 citations

    4

    h-index

  5. JD
    Jeffrey D. Jensen

    Arizona State University, United States

    4 publications · 235 citations

    4

    h-index

1–5 of 323

Venues

  1. Genetics

    25 publications · 2.9K citations

    21

    h-index

  2. Molecular Biology and Evolution

    MBE · 9 publications · 1K citations

    9

    h-index

  3. Evolution

    8 publications · 7.3K citations

    8

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 6 publications · 556 citations

    6

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 75 citations

    5

    h-index

1–5