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A Recurrent Neural Network approach for whole genome bacteria identification
- Source :
- Applied Artificial Intelligence. 35:642-656
- Publication Year :
- 2021
- Publisher :
- Informa UK Limited, 2021.
-
Abstract
- The identification of bacteria plays an essential role in multiple areas of research. Those areas include experimental biology, food and water industries, pathology, microbiology, and evolutionary ...
- Subjects :
- 0209 industrial biotechnology
biology
Computer science
02 engineering and technology
Computational biology
Bacteria identification
biology.organism_classification
Genome
020901 industrial engineering & automation
Recurrent neural network
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Experimental biology
020201 artificial intelligence & image processing
Identification (biology)
Bacteria
Subjects
Details
- ISSN :
- 10876545 and 08839514
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Applied Artificial Intelligence
- Accession number :
- edsair.doi...........04fc0ae0b2beaaacdbfd8eb783af0c8c
- Full Text :
- https://doi.org/10.1080/08839514.2021.1922842