SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
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Title
SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
Authors
Keywords
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Journal
Frontiers in Bioengineering and Biotechnology
Volume 8, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-04-29
DOI
10.3389/fbioe.2020.00391
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Note: Only part of the references are listed.- DMfold: A Novel Method to Predict RNA Secondary Structure With Pseudoknots Based on Deep Learning and Improved Base Pair Maximization Principle
- (2019) Linyu Wang et al. Frontiers in Genetics
- NetGO: improving large-scale protein function prediction with massive network information
- (2019) Ronghui You et al. NUCLEIC ACIDS RESEARCH
- INGA 2.0: improving protein function prediction for the dark proteome
- (2019) Damiano Piovesan et al. NUCLEIC ACIDS RESEARCH
- Protein Function Prediction: From Traditional Classifier to Deep Learning
- (2019) Zhibin Lv et al. PROTEOMICS
- DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
- (2019) Ahmet Sureyya Rifaioglu et al. Scientific Reports
- iProEP: A Computational Predictor for Predicting Promoter
- (2019) Hong-Yan Lai et al. Molecular Therapy-Nucleic Acids
- DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model
- (2019) Jiacheng Wang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank
- (2018) Ronghui You et al. BIOINFORMATICS
- MetaGO: Predicting Gene Ontology of Non-homologous Proteins Through Low-Resolution Protein Structure Prediction and Protein–Protein Network Mapping
- (2018) Chengxin Zhang et al. JOURNAL OF MOLECULAR BIOLOGY
- Prediction of human protein subcellular localization using deep learning
- (2018) Leyi Wei et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Predicting protein structural classes for low-similarity sequences by evaluating different features
- (2018) Xiao-Juan Zhu et al. KNOWLEDGE-BASED SYSTEMS
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- Gene expression inference with deep learning
- (2016) Yifei Chen et al. BIOINFORMATICS
- Systematic Functional Annotation and Visualization of Biological Networks
- (2016) Anastasia Baryshnikova Cell Systems
- A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction
- (2015) Matt Spencer et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- The I-TASSER Suite: protein structure and function prediction
- (2015) Jianyi Yang et al. NATURE METHODS
- A deep learning framework for modeling structural features of RNA-binding protein targets
- (2015) Sai Zhang et al. NUCLEIC ACIDS RESEARCH
- Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
- (2015) Ehsaneddin Asgari et al. PLoS One
- InterProScan 5: genome-scale protein function classification
- (2014) P. Jones et al. BIOINFORMATICS
- STRING v10: protein–protein interaction networks, integrated over the tree of life
- (2014) Damian Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- UniProt: a hub for protein information
- (2014) NUCLEIC ACIDS RESEARCH
- Homology-based inference sets the bar high for protein function prediction
- (2013) Tobias Hamp et al. BMC BIOINFORMATICS
- Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)
- (2013) Jesse Gillis et al. BMC BIOINFORMATICS
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A large-scale evaluation of computational protein function prediction
- (2013) Predrag Radivojac et al. NATURE METHODS
- Predicting Protein Function by Multi-Label Correlated Semi-Supervised Learning
- (2011) J. Q. Jiang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Protein annotation from protein interaction networks and Gene Ontology
- (2011) Cao D. Nguyen et al. JOURNAL OF BIOMEDICAL INFORMATICS
- The NCBI Taxonomy database
- (2011) S. Federhen NUCLEIC ACIDS RESEARCH
- BLAST+: architecture and applications
- (2009) Christiam Camacho et al. BMC BIOINFORMATICS
- Predicting protein function from domain content
- (2008) Kristoffer Forslund et al. BIOINFORMATICS
- PredGPI: a GPI-anchor predictor
- (2008) Andrea Pierleoni et al. BMC BIOINFORMATICS
- The GOA database in 2009--an integrated Gene Ontology Annotation resource
- (2008) D. Barrell et al. NUCLEIC ACIDS RESEARCH
- InterPro: the integrative protein signature database
- (2008) S. Hunter et al. NUCLEIC ACIDS RESEARCH
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