Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.

10.1002/pmic.200500938

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Bibliographic Details
Main Authors:	Han, L., Cui, J., Lin, H., Ji, Z., Cao, Z., Li, Y., Chen, Y.
Other Authors:	COMPUTATIONAL SCIENCE
Format:	Review
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/53354
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-53354
record_format	dspace
spelling	sg-nus-scholar.10635-533542024-11-11T07:58:56Z Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity. Han, L. Cui, J. Lin, H. Ji, Z. Cao, Z. Li, Y. Chen, Y. COMPUTATIONAL SCIENCE BIOLOGICAL SCIENCES PHARMACY 10.1002/pmic.200500938 Proteomics 6 14 4023-4037 2014-05-19T02:57:28Z 2014-05-19T02:57:28Z 2006-07 Review Han, L., Cui, J., Lin, H., Ji, Z., Cao, Z., Li, Y., Chen, Y. (2006-07). Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.. Proteomics 6 (14) : 4023-4037. ScholarBank@NUS Repository. https://doi.org/10.1002/pmic.200500938 16159853 http://scholarbank.nus.edu.sg/handle/10635/53354 000239358600006 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1002/pmic.200500938
author2	COMPUTATIONAL SCIENCE
author_facet	COMPUTATIONAL SCIENCE Han, L. Cui, J. Lin, H. Ji, Z. Cao, Z. Li, Y. Chen, Y.
format	Review
author	Han, L. Cui, J. Lin, H. Ji, Z. Cao, Z. Li, Y. Chen, Y.
spellingShingle	Han, L. Cui, J. Lin, H. Ji, Z. Cao, Z. Li, Y. Chen, Y. Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
author_sort	Han, L.
title	Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
title_short	Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
title_full	Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
title_fullStr	Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
title_full_unstemmed	Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
title_sort	recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/53354
_version_	1821203179756322816

Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.

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