相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Alex L. Mitchell et al.
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
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GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank
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DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier
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UniProt: the universal protein knowledgebase
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Convolutional neural network architectures for predicting DNA-protein binding
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GoFDR: A sequence alignment based method for predicting protein functions
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Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang et al.
GENOME BIOLOGY (2016)
Protein function prediction using guilty by association from interaction networks
Damiano Piovesan et al.
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ProFET: Feature engineering captures high-level protein functions
Dan Ofer et al.
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PANNZER: high-throughput functional annotation of uncharacterized proteins in an error-prone environment
Patrik Koskinen et al.
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InterProScan 5: genome-scale protein function classification
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Protein function prediction by massive integration of evolutionary analyses and multiple data sources
Domenico Cozzetto et al.
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A large-scale evaluation of computational protein function prediction
Predrag Radivojac et al.
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Domain enhanced lookup time accelerated BLAST
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Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms
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The NCBI Taxonomy database
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Automatic structure classification of small proteins using random forest
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BLAST plus : architecture and applications
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AAindex: amino acid index database, progress report 2008
Shuichi Kawashima et al.
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Prediction of protein-protein interactions using random decision forest framework
XW Chen et al.
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NetAcet: prediction of N-terminal acetylation sites
L Kiemer et al.
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