| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6371342 | Journal of Theoretical Biology | 2012 | 10 Pages |
Abstract
⺠We propose multi-kernel transfer learning model for protein submitochondria localization. ⺠We conduct a comprehensive survey of GO-based model performance. ⺠We quantitatively survey how much GO knowledge should be transferred. ⺠The noise from homologous GO knowledge transfer is properly depressed. ⺠The risk of performance overestimation for novel proteins is greatly reduced.
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Authors
Suyu Mei,