Active Mixture Identification

Active Mixture Identification is a computational method in library deconvolution that iteratively selects and analyzes sublibraries to identify biologically active compounds by combining experimental feedback with guided sampling strategies.

8

Publications

225

Citations

39

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

39

  1. OH
    Ole Hindsgaul

    University of Alberta, Canada

    2 publications · 45 citations

    2

    h-index

  2. DC
    David C. Schriemer

    University of Calgary, Canada

    2 publications · 45 citations

    2

    h-index

  3. YJ
    Yecheng Jin

    Zhejiang University, China

    1 publications · 25 citations

    1

    h-index

  4. YW
    Yi Wang

    Chongqing University, China

    1 publications · 25 citations

    1

    h-index

  5. HW
    Heng Wang

    South China Agricultural University, China

    1 publications · 14 citations

    1

    h-index

1–5 of 39

Venues

  1. Journal of Natural Products

    1 publications · 16 citations

    1

    h-index

  2. Medical & Biological Engineering & Computing

    1 publications · 25 citations

    1

    h-index

  3. Journal of Combinatorial Chemistry

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. PubMed

    Repository · 1 publications · 20 citations

    1

    h-index

1–5