Establishment of a model for predicting psoriasis and its verification.

Establishment of a model for predicting psoriasis and its verification.

<p>(A) ROC curve analysis of NL/LS cohort; (B) ROC curve analysis of pre/post treatment cohort; (C) ROC curve analysis of external data GSE30999.</p>

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Détails bibliographiques
Auteur principal:	Chenguang Wang (27726) (author)
Autres auteurs:	Zhiyong Liu (160339) (author), Yan He (116705) (author), Yashu Zhang (8565069) (author), Shiqi Chen (3133062) (author), Yuhao Zhou (8815844) (author), Wenqing Yang (8842142) (author), Lijun Fan (2007628) (author)
Publié:	2025
Sujets:	Medicine Cell Biology Genetics Molecular Biology Biotechnology Immunology Developmental Biology Cancer Infectious Diseases Virology Biological Sciences not elsewhere classified statistically significant differences research findings provide potential safety risks least absolute shrinkage inflammatory skin disease kegg pathway analysis comprehensive bioinformatics analysis differentially expressed genes 8 genes (< xlink "> pre xlink "> nl receiver operating characteristic potential biological significance immune cell infiltration expression network analysis weighted gene co jak1 inhibitor treatment novel biomarkers related 5 genes (< xlink "> psoriasis identify characteristic genes lasso </ p xlink "> characteristic genes novel biomarkers characteristic biomarkers integrated analysis regulated genes immune cells expression profiles biological processes stat1 </ sco2 </ tissue samples term treatment selection operator respective modules psoriasis based primary focus poor compliance nct02310750 ). highly consistent external data diagnostic models depth investigation degs ). curves based current treatments clinical trial 9469 ).
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Résumé:	<p>(A) ROC curve analysis of NL/LS cohort; (B) ROC curve analysis of pre/post treatment cohort; (C) ROC curve analysis of external data GSE30999.</p>