Log-odds Scoring Matrices

Log-Odds Scoring Matrices is a substitution matrix in bioinformatics that quantifies the likelihood of amino acid or nucleotide substitutions by expressing, in logarithmic form, the ratio of the observed frequency of a pairwise substitution to the expected frequency under a null model of random replacement.

9

Publications

482

Citations

32

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

32

  1. AV
    Alfonso Valencia

    Spanish National Cancer Research Centre, Spain

    1 publications · 35 citations

    1

    h-index

  2. YY
    Yi‐Kuo Yu

    National Center for Biotechnology Information, United States

    1 publications · 94 citations

    1

    h-index

  3. RC
    Robert C. McLeay

    The University of Queensland, Australia

    1 publications · 133 citations

    1

    h-index

  4. JR
    Jun Rao

    First Affiliated Hospital of Zhengzhou University, China

    1 publications · 55 citations

    1

    h-index

  5. BP
    Byungkyu Park

    Inha University, South Korea

    1 publications · 22 citations

    1

    h-index

1–5 of 32

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 94 citations

    1

    h-index

  2. Bioinformatics

    1 publications · 133 citations

    1

    h-index

  3. Protein Engineering Design and Selection

    PEDS · 1 publications · 79 citations

    1

    h-index

  4. BMC Systems Biology

    1 publications · 22 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 35 citations

    1

    h-index

1–5