| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4942211 | Artificial Intelligence in Medicine | 2017 | 6 Pages |
Abstract
The proposed feature representation is powerful and the prediction accuracy will be improved greatly, which denotes our method provides the state-of-the-art performance for predicting subcellular location of apoptosis proteins.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qilin Xiang, Bo Liao, Xianhong Li, Huimin Xu, Jing Chen, Zhuoxing Shi, Qi Dai, Yuhua Yao,