Dissimilarity Matrices

Dissimilarity Matrices is a mathematical construct in the field of sequence analysis that quantifies the pairwise divergence between biological sequences by assigning scores based on the degree of mismatch or evolutionary distance, distinguishing it from substitution matrices that emphasize probabilistic or log-odds scores for residue replacements.

202

Publications

18.3K

Citations

555

Authors

307

Institutions

Publications per year

2017–2026

50

Authors

555

  1. NK
    Nikolaus Kriegeskorte

    MRC Cognition and Brain Sciences Unit, United Kingdom

    8 publications · 5.6K citations

    8

    h-index

  2. PL
    Pierre Legendre

    Université de Montréal, Canada

    4 publications · 727 citations

    4

    h-index

  3. RP
    Robert P. W. Duin

    Delft University of Technology, Netherlands

    4 publications · 335 citations

    4

    h-index

  4. JM
    James M. Keller

    University of Missouri, United States

    3 publications · 43 citations

    3

    h-index

  5. MP
    Mihail Popescu

    University of Missouri, United States

    3 publications · 43 citations

    3

    h-index

1–5 of 555

Venues

  1. PLoS ONE

    5 publications · 427 citations

    5

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  2. Ecography

    4 publications · 306 citations

    4

    h-index

  3. 4

    h-index

  4. Methods in Ecology and Evolution

    4 publications · 509 citations

    4

    h-index

  5. Bulletin of Mathematical Biology

    4 publications · 262 citations

    4

    h-index

1–5