Name
Title | ||
|---|---|---|
Compositional Framework for Multitask Learning in the Identification of Cleavage Sites of HIV-1 protease. |
Abstract | ||
|---|---|---|
•Multitask learning framework for HIV-1 protease cleavage site prediction.•Use of multifactorial evolutionary algorithm and multiple kernel learning.•Inherent selection of feature-kernel pair by MFO and PCA based NPE score.•Comparison with fourteen multi-task and multi-kernel techniques.•Experiment on benchmark data and statistical comparison with state of the art. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jbi.2020.103376 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
HIV-1 protease,Multifactorial evolution,Multitask learning,Multiple Kernel learning,Protein encoding | Kernel (linear algebra),Data mining,Multi-task learning,Feature selection,Evolutionary algorithm,Computer science,Support vector machine,HIV-1 protease,Exploit,Statistical hypothesis testing | Journal |
Volume | ISSN | Citations |
102 | 1532-0464 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Singh | 1 | 3 | 1.72 |
| Dilip Singh Sisodia | 2 | 15 | 6.94 |
| Pradeep Singh | 3 | 17 | 5.62 |