Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach
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...
Main Authors: | Jingwen Deng, Carlotta Schieler, José A. M. Borghans, Chuanjian Lu, Aridaman Pandit |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
|
Series: | Frontiers in Immunology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.921408/full |
Similar Items
-
Multi‐omics integration reveals a core network involved in host defence and hyperkeratinization in psoriasis
by: Jingwen Deng, et al.
Published: (2022-12-01) -
Esculetin Ameliorates Psoriasis-Like Skin Disease in Mice by Inducing CD4+Foxp3+ Regulatory T Cells
by: Yuchao Chen, et al.
Published: (2018-09-01) -
Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
by: Andrea Virginia Ruiz Ramírez, M. Sc., et al.
Published: (2021-01-01) -
Reliability and validity of the Chinese version of the Psoriasis Disability Index (PDI) in Chinese patients with psoriasis
by: He Zehui, et al.
Published: (2012-04-01) -
PSORI-CM02 Formula Increases CD4+ Foxp3+ Regulatory T Cell Frequency and Ameliorates Imiquimod-Induced Psoriasis in Mice
by: Haiming Chen, et al.
Published: (2018-01-01)