Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome

BackgroundHead and neck squamous cell carcinoma (HNSCC), an extremely aggressive tumor, is often associated with poor outcomes. The standard anatomy-based tumor-node-metastasis staging system does not satisfy the requirements for screening treatment-sensitive patients. Thus, an ideal biomarker leadi...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Xueying Hu (Yazar), Haiqun Dong (Yazar), Wen Qin (Yazar), Ying Bin (Yazar), Wenhua Huang (Yazar), Min Kang (Yazar), Rensheng Wang (Yazar)
Materyal Türü: Kitap
Baskı/Yayın Bilgisi: Frontiers Media S.A., 2024-04-01T00:00:00Z.
Konular:
Online Erişim:Connect to this object online.
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

Connect to this object online.

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
Kopya Bilgisi 1 Kütüphanede