Feature Filtering

Feature Filtering is a data preprocessing technique in metabolomics quality control that selectively retains or removes molecular features from mass spectrometry datasets based on predefined criteria such as signal intensity, reproducibility, or detection frequency across samples to enhance data reliability and analytical performance.

142

Publications

9.7K

Citations

579

Authors

241

Institutions

Publications per year

2017–2026

73

Authors

579

  1. DH
    D. Horn

    Tel Aviv University, Israel

    3 publications · 419 citations

    3

    h-index

  2. TR
    Thouis R. Jones

    Broad Institute, United States

    2 publications · 754 citations

    2

    h-index

  3. RV
    Roy Varshavsky

    Tel Aviv University, Israel

    2 publications · 367 citations

    2

    h-index

  4. FD
    Frédo Durand

    Massachusetts Institute of Technology, United States

    2 publications · 754 citations

    2

    h-index

  5. PM
    Puspanjali Mohapatra

    International Institute of Information Technology, India

    2 publications · 24 citations

    2

    h-index

1–5 of 579

Venues

  1. IEEE Access

    6 publications · 701 citations

    6

    h-index

  2. Bioinformatics

    4 publications · 685 citations

    4

    h-index

  3. 3

    h-index

  4. Expert Systems with Applications

    3 publications · 323 citations

    3

    h-index

  5. Analytical Chemistry

    3 publications · 151 citations

    3

    h-index

1–5