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Volume 14 Supplement 5

Explainable AI methods in biomedical data science (medical genomics)

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Virtual24-25 January 2021

Conference website

Edited by Henry Han and XiangRong Liu.

  1. Single-cell sequencing approaches allow gene expression to be measured at the single-cell level, providing opportunities and challenges to study the aetiology of complex diseases, including cancer.

    Authors: Qiuyan Huo, Yu Yin, Fangfang Liu, Yuying Ma, Liming Wang and Guimin Qin
    Citation: BMC Medical Genomics 2021 14(Suppl 5):263

Annual Journal Metrics

  • 2022 Citation Impact
    2.7 - 2-year Impact Factor
    3.2 - 5-year Impact Factor
    0.730 - SNIP (Source Normalized Impact per Paper)
    0.892 - SJR (SCImago Journal Rank)

    2023 Speed
    33 days submission to first editorial decision for all manuscripts (Median)
    164 days submission to accept (Median)

    2023 Usage 
    1,335,753 downloads
    593 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

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