An Integrated Data Analysis Using Bioinformatics and Random Forest to Predict Prognosis of Patients With Squamous Cell Lung Cancer

Lung cancer is the leading cause of cancer death worldwide, regardless of gender. Among the types of lung cancer, Lung Squamous Cell Carcinoma (LUSC) is the second most common type, characterized by a diagnosis in advanced stages, a poor prognosis, and a high association with smoking. Due to the sev...

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Κύριοι συγγραφείς:	Debora V. C. Lima, Patrick Terrematte, Beatriz Stransky, Adriao D. D. Neto
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2024-01-01
Σειρά:	IEEE Access
Θέματα:	Gene signature lung cancer machine learning random forest survival analysis
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10506496/
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