Data Normalization In Metabolite Profiling

Data Normalization in Metabolite Profiling is a computational preprocessing step that adjusts metabolomics data to correct for systematic variations and technical biases, thereby enabling biologically meaningful comparisons across samples by scaling measurements to a common reference framework.

111

Publications

12.5K

Citations

658

Authors

281

Institutions

Publications per year

2017–2026

49

Authors

658

  1. PJ
    Peter J. Oefner

    University of Regensburg, Germany

    5 publications · 372 citations

    5

    h-index

  2. HU
    Helena U. Zacharias

    University of Regensburg, Germany

    3 publications · 90 citations

    4

    h-index

  3. WG
    Wolfram Gronwald

    University of Regensburg, Germany

    4 publications · 312 citations

    4

    h-index

  4. TP
    Terence P. Speed

    Walter and Eliza Hall Institute of Medical Research, Australia

    3 publications · 469 citations

    3

    h-index

  5. JH
    Jochen Hochrein

    University of Regensburg, Germany

    3 publications · 279 citations

    3

    h-index

1–5 of 658

Venues

  1. Analytical Chemistry

    18 publications · 3.8K citations

    18

    h-index

  2. Metabolomics

    14 publications · 1.4K citations

    14

    h-index

  3. Bioinformatics

    7 publications · 509 citations

    8

    h-index

  4. Metabolites

    8 publications · 276 citations

    8

    h-index

  5. BMC Bioinformatics

    7 publications · 970 citations

    7

    h-index

1–5