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LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities

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Zeitschriftentitel: PLOS Computational Biology
Personen und Körperschaften: Wang, Lei, You, Zhu-Hong, Chen, Xing, Li, Yang-Ming, Dong, Ya-Nan, Li, Li-Ping, Zheng, Kai
In: PLOS Computational Biology, 15, 2019, 3, S. e1006865
Medientyp: E-Article
Sprache: Englisch
veröffentlicht:
Public Library of Science (PLoS)
Schlagwörter:
author_facet Wang, Lei
You, Zhu-Hong
Chen, Xing
Li, Yang-Ming
Dong, Ya-Nan
Li, Li-Ping
Zheng, Kai
Wang, Lei
You, Zhu-Hong
Chen, Xing
Li, Yang-Ming
Dong, Ya-Nan
Li, Li-Ping
Zheng, Kai
author Wang, Lei
You, Zhu-Hong
Chen, Xing
Li, Yang-Ming
Dong, Ya-Nan
Li, Li-Ping
Zheng, Kai
spellingShingle Wang, Lei
You, Zhu-Hong
Chen, Xing
Li, Yang-Ming
Dong, Ya-Nan
Li, Li-Ping
Zheng, Kai
PLOS Computational Biology
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
Computational Theory and Mathematics
Cellular and Molecular Neuroscience
Genetics
Molecular Biology
Ecology
Modeling and Simulation
Ecology, Evolution, Behavior and Systematics
author_sort wang, lei
spelling Wang, Lei You, Zhu-Hong Chen, Xing Li, Yang-Ming Dong, Ya-Nan Li, Li-Ping Zheng, Kai 1553-7358 Public Library of Science (PLoS) Computational Theory and Mathematics Cellular and Molecular Neuroscience Genetics Molecular Biology Ecology Modeling and Simulation Ecology, Evolution, Behavior and Systematics http://dx.doi.org/10.1371/journal.pcbi.1006865 LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities PLOS Computational Biology
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title LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_unstemmed LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_full LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_fullStr LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_full_unstemmed LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_short LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_sort lmtrda: using logistic model tree to predict mirna-disease associations by fusing multi-source information of sequences and similarities
topic Computational Theory and Mathematics
Cellular and Molecular Neuroscience
Genetics
Molecular Biology
Ecology
Modeling and Simulation
Ecology, Evolution, Behavior and Systematics
url http://dx.doi.org/10.1371/journal.pcbi.1006865
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author_facet Wang, Lei, You, Zhu-Hong, Chen, Xing, Li, Yang-Ming, Dong, Ya-Nan, Li, Li-Ping, Zheng, Kai, Wang, Lei, You, Zhu-Hong, Chen, Xing, Li, Yang-Ming, Dong, Ya-Nan, Li, Li-Ping, Zheng, Kai
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spelling Wang, Lei You, Zhu-Hong Chen, Xing Li, Yang-Ming Dong, Ya-Nan Li, Li-Ping Zheng, Kai 1553-7358 Public Library of Science (PLoS) Computational Theory and Mathematics Cellular and Molecular Neuroscience Genetics Molecular Biology Ecology Modeling and Simulation Ecology, Evolution, Behavior and Systematics http://dx.doi.org/10.1371/journal.pcbi.1006865 LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities PLOS Computational Biology
spellingShingle Wang, Lei, You, Zhu-Hong, Chen, Xing, Li, Yang-Ming, Dong, Ya-Nan, Li, Li-Ping, Zheng, Kai, PLOS Computational Biology, LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Ecology, Modeling and Simulation, Ecology, Evolution, Behavior and Systematics
title LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_full LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_fullStr LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_full_unstemmed LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_short LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
title_sort lmtrda: using logistic model tree to predict mirna-disease associations by fusing multi-source information of sequences and similarities
title_unstemmed LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
topic Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Ecology, Modeling and Simulation, Ecology, Evolution, Behavior and Systematics
url http://dx.doi.org/10.1371/journal.pcbi.1006865