Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology

10.2174/157489307780618222

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Bibliographic Details
Main Authors:	Cui, J., Han, L., Lin, H., Tang, Z., Ji, Z., Cao, Z., Li, Y., Chen, Y.
Other Authors:	PHARMACY
Format:	Review
Published:	2014
Subjects:	Machine learning method Neural network Peptide prediction Protein function prediction Protein-protein interaction Support vector machine
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/106607
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-106607
record_format	dspace
spelling	sg-nus-scholar.10635-1066072023-10-30T09:01:53Z Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology Cui, J. Han, L. Lin, H. Tang, Z. Ji, Z. Cao, Z. Li, Y. Chen, Y. PHARMACY Machine learning method Neural network Peptide prediction Protein function prediction Protein-protein interaction Support vector machine 10.2174/157489307780618222 Current Bioinformatics 2 2 95-112 2014-10-29T02:02:25Z 2014-10-29T02:02:25Z 2007-05 Review Cui, J., Han, L., Lin, H., Tang, Z., Ji, Z., Cao, Z., Li, Y., Chen, Y. (2007-05). Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology. Current Bioinformatics 2 (2) : 95-112. ScholarBank@NUS Repository. https://doi.org/10.2174/157489307780618222 15748936 http://scholarbank.nus.edu.sg/handle/10635/106607 000246788200001 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Machine learning method Neural network Peptide prediction Protein function prediction Protein-protein interaction Support vector machine
spellingShingle	Machine learning method Neural network Peptide prediction Protein function prediction Protein-protein interaction Support vector machine Cui, J. Han, L. Lin, H. Tang, Z. Ji, Z. Cao, Z. Li, Y. Chen, Y. Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
description	10.2174/157489307780618222
author2	PHARMACY
author_facet	PHARMACY Cui, J. Han, L. Lin, H. Tang, Z. Ji, Z. Cao, Z. Li, Y. Chen, Y.
format	Review
author	Cui, J. Han, L. Lin, H. Tang, Z. Ji, Z. Cao, Z. Li, Y. Chen, Y.
author_sort	Cui, J.
title	Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
title_short	Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
title_full	Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
title_fullStr	Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
title_full_unstemmed	Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
title_sort	advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/106607
_version_	1781788273519099904

Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology

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