Constructing and validating consensus machine learning-derived post-translational modification gene signature (CMDPTMS) in OS.

Constructing and validating consensus machine learning-derived post-translational modification gene signature (CMDPTMS) in OS.

<p>(A) C-index of each model across cohorts, ranked by average C-index in validation cohorts. (B-D) AUC values for 1-year, 3-year, and 5-year predictions across cohorts, ranked by average AUC in validation cohorts.</p>

-д хадгалсан:

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Yue Cui (212753) (author)
Бусад зохиолчид:	Yue Wu (1262184) (author), Dongyu Jiang (5625278) (author), Tao Ding (129078) (author)
Хэвлэсэн:	2025
Нөхцлүүд:	Biophysics Cell Biology Molecular Biology Biotechnology Cancer Virology Biological Sciences not elsewhere classified Information Systems not elsewhere classified ten hub genes median risk score integrating bulk rna emerging evidence suggests consensus machine learning stratifying osteoblastic cells predict therapeutic outcomes >( vim )</ st ), enabling div >< p cmdptms may serve classified tumor cells cell rna sequencing tumor cells vim </ poor outcomes two clusters translational modifications st analyses significantly elevated seven drugs prognostic model powerful tool osteosarcoma progression osteosarcoma pathogenesis os cells laboratory experiments diminished benefit cmdptms group closely interacted cell dependencies biological function addmodulescore method
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