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Volume 21 Supplement 5

Proceedings of the 13th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2019): bioinformatics

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.

Beijing, China3-7 November 2019

Edited by Hyojung Paik and Ruibin Xi

Conference website

Related articles have published as a supplement to BMC Medical Informatics and Decision Making and BMC Nephrology.

  1. Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been machine learning-based models to predict androgen receptor agonist activity. ...

    Authors: Myeong-Sang Yu, Jingyu Lee, Yongmin Lee and Dokyun Na

    Citation: BMC Bioinformatics 2020 21(Suppl 5):245

    Content type: Research

    Published on:

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  • As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

2019 Journal Metrics

  • Citation Impact
    3.242 - 2-year Impact Factor
    3.213 - 5-year Impact Factor
    1.156 - Source Normalized Impact per Paper (SNIP)
    1.626 - SCImago Journal Rank (SJR)

    Usage 
    4,058,323 downloads

    Social Media Impact
    6067 mentions