Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening
Số trang: 16
Loại file: pdf
Dung lượng: 1.81 MB
Lượt xem: 7
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
Prediction of patient survival from tumor molecular ‘-omics’ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are applied in the context of “high dimension”, as the number p of covariates (gene expressions) greatly exceeds the number n of patients and e of events.
Tìm kiếm theo từ khóa liên quan:
BMC Cancer Cox model Survival model Penalized regression RNA-seq Multi-omics data integrationTài liệu liên quan:
-
Differences between physician and patient preferences for cancer treatments: A systematic review
13 trang 171 0 0 -
6 trang 166 0 0
-
Immune checkpoint inhibitors and their impact on liver enzymes and attenuation
7 trang 142 0 0 -
2011–2021 rising prevalence of HPV infection among oropharyngeal carcinoma in France
9 trang 120 0 0 -
12 trang 93 0 0
-
19 trang 74 0 0
-
17 trang 64 0 0
-
9 trang 43 0 0
-
12 trang 38 0 0
-
13 trang 38 0 0