Research graph
References from EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooks. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/nrd2518
10.1038/nrd2518 · External reference
10.1002/cmdc.200600134
10.1002/cmdc.200600134 · External reference
10.1124/mol.63.6.1256
10.1124/mol.63.6.1256 · External reference
G-protein coupled receptors (GPCRs): a comprehensive computational perspective
10.2174/1386207318666150305155545 · 2015 · External reference
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10.1016/j.compbiolchem.2007.05.002
10.1016/j.compbiolchem.2007.05.002 · External reference
Structure and function of receptors coupled to G proteins
10.1016/0955-0674(94)90134-1 · 1994 · External reference
Bioinformatical analysis of G-protein-coupled receptors
10.1021/pr025527k · 2002 · External reference
10.1146/annurev-pharmtox-032112-135923
10.1146/annurev-pharmtox-032112-135923 · External reference
10.1038/aps.2011.173
10.1038/aps.2011.173 · External reference
Guide to receptors and channels (GRAC)
10.1111/j.1476-5381.2011.01649_1.x · 2011 · External reference
Identifying GPCRs and their types with Chou’s pseudo amino acid composition: an approach from multi-scale energy representation and position specific scoring matrix
10.2174/092986612801619589 · 2012 · External reference
10.1007/s00726-017-2512-4
10.1007/s00726-017-2512-4 · External reference
10.1155/2016/8309253
10.1155/2016/8309253 · External reference
An improved classification of G-protein-coupled receptors using sequence-derived features
10.1186/1471-2105-11-420 · 2010 · External reference
GPCR-MPredictor: multi-level prediction of G protein-coupled receptors using genetic ensemble
10.1007/s00726-011-0940-0 · 2012 · External reference
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2016 · External reference
A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines
2015 · External reference
10.1109/iscc.2017.8024644
10.1109/iscc.2017.8024644 · External reference
10.1093/bioinformatics/bty995
10.1093/bioinformatics/bty995 · External reference
SMOTE for high-dimensional class-imbalanced data
2013 · External reference
Synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
A novel features ranking metric with application to scalable visual and bioinformatics data classification
10.1016/j.neucom.2014.12.123 · 2016 · External reference
10.1016/j.neunet.2014.09.003
10.1016/j.neunet.2014.09.003 · External reference
10.1016/j.tics.2007.09.004
10.1016/j.tics.2007.09.004 · External reference
Deep learning
10.1142/s1793351x16500045 · 2016 · External reference
10.1093/bib/bbaa255
10.1093/bib/bbaa255 · External reference
10.1093/nar/gkab016
10.1093/nar/gkab016 · External reference
10.1093/bioinformatics/bty977
10.1093/bioinformatics/bty977 · External reference
10.1016/j.ymeth.2019.04.008
10.1016/j.ymeth.2019.04.008 · External reference
Deep residual learning for image recognition
2016 · External reference
10.1109/iccv.2017.324
10.1109/iccv.2017.324 · External reference
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Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
2017 · External reference
Object recognition and detection with deep learning for autonomous driving applications
10.1177/0037549717709932 · 2017 · External reference
DeepDriving: learning affordance for direct perception in autonomous driving
2015 · External reference
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Learned protein embeddings for machine learning
10.1093/bioinformatics/bty455 · 2018 · External reference
Identifying GPCR-drug interaction based on wordbook learning from sequences
10.1186/s12859-020-3488-8 · 2020 · External reference
10.1007/978-1-4939-3167-5_2
10.1007/978-1-4939-3167-5_2 · External reference
Cd-Hit: a fast program for Clustering and Comparing Large Sets of Protein or Nucleotide Sequences
2006 · External reference
CD-HIT: accelerated for clustering the next-generation sequencing data
10.1093/bioinformatics/bts565 · 2012 · External reference
iBLP: an XGBoost-Based Predictor for Identifying Bioluminescent Proteins
2021 · External reference
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops
2020 · External reference
iATP: a sequence based method for identifying anti-tubercular peptides
2019 · External reference
BOW-GBDT: a GBDT classifier combining with artificial neural network for identifying GPCR-drug interaction based on wordbook learning from sequences
10.3389/fcell.2020.623858 · 2020 · External reference
Learning representations by back propagating errors
10.1038/323533a0 · 1986 · External reference
Artificial neural networks
10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l · 2001 · External reference
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2010 · External reference
10.1093/nar/28.1.374
10.1093/nar/28.1.374 · External reference
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10.1145/2648584.2648589
10.1145/2648584.2648589 · External reference
An accurate eye pupil localization approach based on adaptive gradient boosting decision tree
2016 · External reference
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10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
A comparative analysis of gradient boosting algorithms
2020 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
Risk prediction of diabetes: big data mining with fusion of multifarious physical examination indicators
10.1016/j.inffus.2021.02.015 · 2021 · External reference
mRNALocater: enhance the prediction accuracy of eukaryotic mRNA subcellular localization by using model fusion strategy
2021 · External reference
10.1023/a:1007607513941
10.1023/a:1007607513941 · External reference
