Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics.

Jing Zhang Shuo FengMinfei ChenWen ZhangXiu ZhangShengbang WangXinyi GanYan ZhengGuorong Wang

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)

In our study, we focused on the comprehensive understanding of pathogeneses in psoriasis and UC. The identification of eight potential crucial genes may contribute to not only understanding the common mechanism, but also identifying occult UC in psoriasis patients, even serving as therapeutic targets in the future.

Keyphrases

bioinformatics analysis
machine learning
end stage renal disease
ulcerative colitis
genome wide
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
atopic dermatitis
patient reported outcomes
gene expression
big data