Potential risk genes for primary Sjogren's syndrome from a meta-analysis by linear regression and random forest classification

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Short communication | 更新时间：2024-02-04

- Potential risk genes for primary Sjogren's syndrome from a meta-analysis by linear regression and random forest classification
- Genes & Diseases Vol. 11, Issue 3, (2024)
- 作者机构：
  
  1. Center for Networked Biomedical Research on Rare Diseases (CIBERER), Carlos III Health Institute,Madrid,Spain,28029
  2. Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba,Spain,14004
  3. Dermatology Department, Melanoma Unit, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), and Hospital Clínic,Barcelona,Spain,08036
  4. Faculty of Computer Sciences, Multimedia and Telecommunication, Universitat Oberta de Catalunya,Barcelona,Spain,08018
  5. Centre for Rheumatology Research, Division of Medicine, University College London, London W1T 4JF,UK
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gendis.2023.05.015
  CLC：
- Published：2024，
  
  Published Online：1 May 2024，
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Tomás Cerdó, Teresa Torres Moral. Potential risk genes for primary Sjogren's syndrome from a meta-analysis by linear regression and random forest classification. [J]. Genes & Diseases 11(3).(2024)
DOI：

Tomás Cerdó, Teresa Torres Moral. Potential risk genes for primary Sjogren's syndrome from a meta-analysis by linear regression and random forest classification. [J]. Genes & Diseases 11(3).(2024) DOI： 10.1016/j.gendis.2023.05.015.

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