Statistical Hit Selection

Statistical Hit Selection is a methodological framework in high-throughput screening that identifies compounds or entities exhibiting significant biological activity by applying statistical criteria to distinguish true effects from random variation.

16

Publications

1.1K

Citations

66

Authors

32

Institutions

Publications per year

2017–2026

1

Authors

66

  1. XD
    Xiaohua Douglas Zhang

    University of Macau, Macao SAR China

    5 publications · 473 citations

    5

    h-index

  2. MF
    Marc Ferrer

    National Center for Advancing Translational Sciences, United States

    3 publications · 240 citations

    3

    h-index

  3. JF
    Joseph F. Heyse

    United States Military Academy, United States

    2 publications · 137 citations

    2

    h-index

  4. SM
    Shane Marine

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    2 publications · 137 citations

    2

    h-index

  5. ES
    Erica Stec

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    2 publications · 204 citations

    2

    h-index

1–5 of 66

Venues

  1. SLAS DISCOVERY

    6 publications · 789 citations

    6

    h-index

  2. MedChemComm

    1 publications · 19 citations

    1

    h-index

  3. PLoS ONE

    1 publications · 17 citations

    1

    h-index

  4. ACS Infectious Diseases

    1 publications · 34 citations

    1

    h-index

  5. Methods in molecular biology

    Book series · 1 publications · 23 citations

    1

    h-index

1–5