Enhancer Loss

Enhancer Loss is a computational loss function designed to penalize deviations in predicted enhancer activity from observed biological data, distinguishing itself by specifically targeting the accuracy of enhancer element prediction within gene regulatory models.

48

Publications

5.5K

Citations

369

Authors

141

Institutions

Publications per year

2017–2026

17

Authors

369

  1. LP
    L Pennacchio

    Lawrence Berkeley National Laboratory, United States

    5 publications · 1.7K citations

    5

    h-index

  2. JA
    Jennifer A. Akiyama

    Lawrence Berkeley National Laboratory, United States

    5 publications · 1.7K citations

    5

    h-index

  3. IP
    Ingrid Plajzer-Frick

    Lawrence Berkeley National Laboratory, United States

    4 publications · 1.6K citations

    4

    h-index

  4. VA
    Veena Afzal

    Lawrence Berkeley National Laboratory, United States

    4 publications · 1.6K citations

    4

    h-index

  5. AV
    Axel Visel

    Lawrence Berkeley National Laboratory, United States

    4 publications · 1.6K citations

    4

    h-index

1–5 of 369

Venues

  1. Nucleic Acids Research

    4 publications · 268 citations

    4

    h-index

  2. Nature

    3 publications · 1.9K citations

    3

    h-index

  3. Cell Reports

    3 publications · 120 citations

    3

    h-index

  4. Cell

    3 publications · 935 citations

    3

    h-index

  5. Journal of Biological Chemistry

    JBC · 2 publications · 100 citations

    2

    h-index

1–5