A hierarchical multi-label classification method based on neural networks for gene function prediction
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Title
A hierarchical multi-label classification method based on neural networks for gene function prediction
Authors
Keywords
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Journal
BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT
Volume -, Issue -, Pages 1-9
Publisher
Informa UK Limited
Online
2018-10-18
DOI
10.1080/13102818.2018.1521302
References
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Related references
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- An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures
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- A large-scale evaluation of computational protein function prediction
- (2013) Predrag Radivojac et al. NATURE METHODS
- Multi-label classification with Bayesian network-based chain classifiers
- (2013) L. Enrique Sucar et al. PATTERN RECOGNITION LETTERS
- Hierarchical multi-label classification based on over-sampling and hierarchy constraint for gene function prediction
- (2012) Benhui Chen et al. IEEJ Transactions on Electrical and Electronic Engineering
- A survey of hierarchical classification across different application domains
- (2010) Carlos N. Silla et al. DATA MINING AND KNOWLEDGE DISCOVERY
- True Path Rule Hierarchical Ensembles for Genome-Wide Gene Function Prediction
- (2010) Giorgio Valentini IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A hierarchical multi-label classification ant colony algorithm for protein function prediction
- (2010) Fernando E. B. Otero et al. Memetic Computing
- Decision trees for hierarchical multi-label classification
- (2008) Celine Vens et al. MACHINE LEARNING
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