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西北工业大学 国内
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Integration of genomic and proteomic data to predict synthetic genetic interactions using semi-supervised learning
Zhuhong You
, Shanwen Zhang, Liping Li
CAS - Institute of Intelligent Machines
University of Science and Technology of China
Institute of Soil and Water Conservation of Gansu
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探究 'Integration of genomic and proteomic data to predict synthetic genetic interactions using semi-supervised learning' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Clustering Coefficient
50%
Combined Effect
50%
Computational Method
50%
Degree Centrality
50%
Experimental Result
50%
Functional Property
50%
Gene Expression Data
50%
Learning Algorithm
50%
Network Property
100%
Semisupervised Learning
100%
Supervised Learning
50%
Supervised Method
100%
Training Sample
50%
Unlabeled Data
50%
Biochemistry, Genetics and Molecular Biology
Gene Expression Data
20%
Gene Interaction
100%
Gene Linkage
20%
Gene Network
20%
Genetics
20%
Genomics
100%
Protein Complexes
20%
Protein Microarray
20%
Protein-Protein Interaction
20%
Proteomics
100%
Neuroscience
Protein Microarray
20%