Abstract
Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
| Original language | English |
|---|---|
| Publisher | Walter de Gruyter GmbH |
| Number of pages | 192 |
| ISBN (Electronic) | 9781501501500 |
| ISBN (Print) | 9781501510489 |
| Publication status | Published - 19 May 2015 |
Keywords
- Bioinformatics
- Computer Science
- Proteomics
ASJC Scopus subject areas
- General Engineering
- General Computer Science
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