Name
Title | ||
|---|---|---|
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. |
Abstract | ||
|---|---|---|
Molecular profiling data (e.g., gene expression) has been used for clinical risk prediction and biomarker discovery. However, it is necessary to integrate other prior knowledge like biological pathways or gene interaction networks to improve the predictive ability and biological interpretability of biomarkers. Here, we first introduce a general regularized Logistic Regression (LR) framework with r... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCBB.2016.2640303 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Logistics,Computational modeling,Training,Testing,Biological system modeling,Cancer,Mathematical model | Journal | 15 |
Issue | ISSN | Citations |
3 | 1545-5963 | 9 |
PageRank | References | Authors |
0.67 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenwen Min | 1 | 16 | 3.88 |
| Juan Liu | 2 | 1128 | 145.32 |
| Shihua Zhang | 3 | 424 | 36.27 |