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- W2365403113 abstract "Driven largely by the technology of information processing,the genomic research has entered a new era of post genomic study and gone far beyond knowing the complete sequence of a genome.Coincided with the explosion of information about genome,a new field has emerged on the basis of analyzing and discovering the data on a genomic scale:genome informatics.In its broadest context,genome informatics is concerned with fully realizing the value of data and gaining a full understanding of the genome,while computational tools and techniques are needed to identify the relevant features in the sequence and to provide insight their structure and function.As a massively arallel computational device,artificial neural networks provide a unique computing architecture,composed of a large number of simple computational units.With its many features and capabilities for recognition,generalization and classification,artificial neural network technology is very well suited for the genomic research.In this paper,we review the major neural network applications in genome informatics,describe some common architectures in use,and discuss possible future direction in the field with a view to address some remaining bottlenecks for research." @default.
- W2365403113 created "2016-06-24" @default.
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- W2365403113 date "2002-01-01" @default.
- W2365403113 modified "2023-09-25" @default.
- W2365403113 title "Artifcial neural networks applications for genome informatics" @default.
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