Data Preprocessing For Omics

Data Preprocessing for Omics is a computational bioinformatics procedure that constitutes the systematic transformation and normalization of raw high-throughput biological data to correct technical artifacts, ensure data quality, and enable integrative analysis across diverse omics layers.

369

Publications

51.1K

Citations

2.4K

Authors

880

Institutions

Publications per year

2017–2026

227

Authors

2.4K

  1. AC
    Ana Conesa

    Centro de Investigacion Principe Felipe, Spain

    5 publications · 418 citations

    5

    h-index

  2. RS
    Richard Smith

    Pacific Northwest National Laboratory, United States

    5 publications · 770 citations

    5

    h-index

  3. MF
    Mark F. Richardson

    Deakin University, Australia

    4 publications · 466 citations

    4

    h-index

  4. JM
    Josh Moore

    University of Dundee, United Kingdom

    4 publications · 973 citations

    4

    h-index

  5. JM
    Jarek Meller

    Cincinnati Children's Hospital Medical Center, United States

    3 publications · 178 citations

    3

    h-index

1–5 of 2.4K

Venues

  1. Bioinformatics

    36 publications · 3.4K citations

    26

    h-index

  2. BMC Bioinformatics

    19 publications · 1.5K citations

    15

    h-index

  3. Methods in molecular biology

    Book series · 14 publications · 607 citations

    13

    h-index

  4. Nucleic Acids Research

    11 publications · 2K citations

    11

    h-index

  5. Briefings in Bioinformatics

    10 publications · 610 citations

    10

    h-index

1–5