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Pairwise Conditional Random Fields for Protein Function Prediction
Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies
◽
10.1007/978-3-030-37309-2_23
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2020
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pp. 290-298
Author(s):
Omid Abbaszadeh
◽
Ali Reza Khanteymoori
Keyword(s):
Random Fields
◽
Protein Function
◽
Conditional Random Fields
◽
Protein Function Prediction
◽
Function Prediction
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Cited By
References
Conditional Random Fields for Protein Function Prediction
Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science
◽
10.1007/978-3-642-39159-0_17
◽
2013
◽
pp. 184-195
◽
Cited By ~ 2
Author(s):
Thies Gehrmann
◽
Marco Loog
◽
Marcel J. T. Reinders
◽
Dick de Ridder
Keyword(s):
Random Fields
◽
Protein Function
◽
Conditional Random Fields
◽
Protein Function Prediction
◽
Function Prediction
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Faculty Opinions recommendation of Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.3674970.3396073
◽
2010
◽
Author(s):
Christine Orengo
Keyword(s):
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
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Mask blast with a new chemical logic of amino acids for improved protein function prediction
Proteins Structure Function and Bioinformatics
◽
10.1002/prot.26069
◽
2021
◽
Author(s):
Amita Pathak
◽
Toran Roy
◽
Avinash Edubilli
◽
Bhyravabhotla Jayaram
Keyword(s):
Amino Acids
◽
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
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DeepGOPlus: improved protein function prediction from sequence
Bioinformatics
◽
10.1093/bioinformatics/btaa763
◽
2021
◽
Author(s):
Maxat Kulmanov
◽
Robert Hoehndorf
Keyword(s):
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
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Integrated protein function prediction by mining function associations, sequences, and protein–protein and gene–gene interaction networks
Methods
◽
10.1016/j.ymeth.2015.09.011
◽
2016
◽
Vol 93
◽
pp. 84-91
◽
Cited By ~ 55
Author(s):
Renzhi Cao
◽
Jianlin Cheng
Keyword(s):
Protein Function
◽
Protein Function Prediction
◽
Gene Interaction
◽
Function Prediction
◽
Interaction Networks
◽
Gene Interaction Networks
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Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks
2011 11th International Conference on Intelligent Systems Design and Applications
◽
10.1109/isda.2011.6121678
◽
2011
◽
Cited By ~ 7
Author(s):
Ricardo Cerri
◽
Rodrigo C. Barros
◽
Andre C. P. L. F. de Carvalho
Keyword(s):
Neural Networks
◽
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
◽
Local Approach
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ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network
Molecules
◽
10.3390/molecules22101732
◽
2017
◽
Vol 22
(10)
◽
pp. 1732
◽
Cited By ~ 84
Author(s):
Renzhi Cao
◽
Colton Freitas
◽
Leong Chan
◽
Miao Sun
◽
Haiqing Jiang
◽
...
Keyword(s):
Neural Network
◽
Machine Translation
◽
Recurrent Neural Network
◽
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
◽
Neural Machine Translation
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Integration of relational and hierarchical network information for protein function prediction
BMC Bioinformatics
◽
10.1186/1471-2105-9-350
◽
2008
◽
Vol 9
(1)
◽
pp. 350
◽
Cited By ~ 28
Author(s):
Xiaoyu Jiang
◽
Naoki Nariai
◽
Martin Steffen
◽
Simon Kasif
◽
Eric D Kolaczyk
Keyword(s):
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
◽
Hierarchical Network
◽
Network Information
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Protein function prediction with high-throughput data
Amino Acids
◽
10.1007/s00726-008-0077-y
◽
2008
◽
Vol 35
(3)
◽
pp. 517-530
◽
Cited By ~ 26
Author(s):
Xing-Ming Zhao
◽
Luonan Chen
◽
Kazuyuki Aihara
Keyword(s):
High Throughput
◽
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
◽
High Throughput Data
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“ PANNZER – a practical tool for protein function prediction”
Protein Science
◽
10.1002/pro.4193
◽
2021
◽
Author(s):
Petri Törönen
◽
Liisa Holm
Keyword(s):
Protein Function
◽
Protein Function Prediction
◽
Function Prediction
◽
Practical Tool
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