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Volume 14 Supplement 5

Explainable AI methods in biomedical data science (medical genomics)


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

  • Citation Impact 2023
    Journal Impact Factor: 2.1
    5-year Journal Impact Factor: 2.5
    Source Normalized Impact per Paper (SNIP): 0.581
    SCImago Journal Rank (SJR): 0.703

    Speed 2023
    Submission to first editorial decision (median days): 34
    Submission to acceptance (median days): 164

    Usage 2023
    Downloads: 1,335,753
    Altmetric mentions: 593

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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