Multi-omics Data Preprocessing

Multi-Omics Data Preprocessing is a computational and analytical procedure that comprises the systematic normalization, quality control, batch effect correction, and feature alignment of heterogeneous biological datasets derived from multiple omics layers to enable their integrative analysis.

297

Publications

30.1K

Citations

2.6K

Authors

840

Institutions

Publications per year

2017–2026

241

Authors

2.6K

  1. AC
    Ana Conesa

    Centro de Investigacion Principe Felipe, Spain

    7 publications · 608 citations

    7

    h-index

  2. KL
    Kim‐Anh Lê Cao

    The University of Queensland, Australia

    6 publications · 6.4K citations

    6

    h-index

  3. FG
    Feng Gao

    Tianjin University, China

    5 publications · 1.3K citations

    4

    h-index

  4. YB
    Yīmíng Bào

    Beijing Institute of Genomics, China

    9 publications · 2.3K citations

    4

    h-index

  5. QL
    Qi Long

    Emory University, United States

    4 publications · 102 citations

    4

    h-index

1–5 of 2.6K

Venues

  1. Bioinformatics

    19 publications · 2.6K citations

    17

    h-index

  2. Briefings in Bioinformatics

    15 publications · 819 citations

    14

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 12 publications · 667 citations

    11

    h-index

  4. BMC Bioinformatics

    11 publications · 985 citations

    11

    h-index

  5. Nucleic Acids Research

    9 publications · 1.4K citations

    9

    h-index

1–5