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Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach

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收录情况： ◇ SCIE

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机构： [1]Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands [2]The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China

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关键词： psoriasis gene regulatory network machine learning transcriptome regulators

摘要：

Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.

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出版当年[2021]版：

大类 | 2 区

医学

小类 | 2 区免疫学

最新[2025]版：

大类 | 2 区医学

小类 | 2 区免疫学

JCR分区：

出版当年[2020]版：

Q1 IMMUNOLOGY

最新[2023]版：

Q1 IMMUNOLOGY

影响因子： 5.7 最新[2023版] 6.8 最新五年平均 7.561 出版当年[2020版] 7.624 出版当年五年平均 5.085 出版前一年[2019版] 8.787 出版后一年[2021版]

第一作者：

第一作者机构： [1]Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands [2]The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China

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