Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning

• Үндсэн зохиолчид: Yi Zhao (Зохиогч), Yanjun Wei (Зохиогч), Lingjia Fan (Зохиогч), Yuanliu Nie (Зохиогч), Jianan Li (Зохиогч), Renya Zeng (Зохиогч), Jixian Li (Зохиогч), Xiang Zhan (Зохиогч), Lingli Lei (Зохиогч), Zhichao Kang (Зохиогч), Jiaxin Li (Зохиогч), Wentao Zhang (Зохиогч), Zhe Yang (Зохиогч)
• Формат: Ном
• Хэвлэсэн: BMC, 2023-10-01T00:00:00Z.
• Нөхцлүүд: article
• Онлайн хандалт: Connect to this object online.

Abstract Background Disulfidptosis is a recently discovered programmed cell death pathway. However, the exact molecular mechanism of disulfidptosis in cutaneous melanoma remains unclear. Methods In this study, clustering analysis was performed using data from public databases to construct a prognost...