Quantification Bias

Quantification Bias is a systematic error in the measurement of protein abundance arising from methodological or technical factors that differentially affect signal detection, thereby distorting the true relative or absolute concentrations of proteins in a sample.

32

Publications

15.5K

Citations

188

Authors

93

Institutions

Publications per year

2017–2026

25

Authors

188

  1. PE
    Peder E. Z. Larson

    University of California, San Francisco, United States

    1 publications · 13 citations

    1

    h-index

  2. KM
    Kim M. Clark-Langone

    Genomic Health (United States), United States

    1 publications · 345 citations

    1

    h-index

  3. RR
    R. Rivkah Isseroff

    University of California, Davis, United States

    1 publications · 15 citations

    1

    h-index

  4. KA
    Keith A. Michel

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 13 citations

    1

    h-index

  5. JM
    Johnnatan Messias

    Universidade Federal de Minas Gerais, Brazil

    1 publications · 104 citations

    1

    h-index

1–5 of 188

Venues

  1. PLoS ONE

    3 publications · 118 citations

    3

    h-index

  2. Nucleic Acids Research

    2 publications · 164 citations

    2

    h-index

  3. Clinical Chemistry

    2 publications · 380 citations

    2

    h-index

  4. BioTechniques

    1 publications · 44 citations

    1

    h-index

  5. Risk Analysis

    1 publications · 19 citations

    1

    h-index

1–5