Microarray-based Copy Number Detection

Microarray-Based Copy Number Detection is a genomic analysis method that uses microarray technology to identify copy number variations across the genome by hybridizing differentially labeled test and reference DNA samples to arrayed genomic probes, enabling high-resolution detection of DNA gains and losses.

254

Publications

23.9K

Citations

1.8K

Authors

506

Institutions

Publications per year

2017–2026

18

Authors

1.8K

  1. CA
    Chad A. Shaw

    Baylor College of Medicine, United States

    7 publications · 577 citations

    7

    h-index

  2. SW
    Sau Wai Cheung

    Baylor College of Medicine, United States

    7 publications · 577 citations

    7

    h-index

  3. AP
    Ankita Patel

    Baylor College of Medicine, United States

    7 publications · 607 citations

    7

    h-index

  4. HF
    Heike Fiegler

    Wellcome Sanger Institute, United Kingdom

    6 publications · 651 citations

    6

    h-index

  5. AK
    Anne Kallioniemi

    6 publications · 878 citations

    6

    h-index

1–5 of 1.8K

Venues

  1. BMC Genomics

    14 publications · 682 citations

    13

    h-index

  2. Nucleic Acids Research

    13 publications · 828 citations

    13

    h-index

  3. PLoS ONE

    11 publications · 357 citations

    11

    h-index

  4. Genes Chromosomes and Cancer

    10 publications · 413 citations

    10

    h-index

  5. Bioinformatics

    9 publications · 523 citations

    9

    h-index

1–5