Improved random forest algorithm to classify methicillin-resistant and methicillin-susceptible staphylococcus aureus on mass spectra

Dai, YL, Fan, ZC, Zhang, LP, Xu, XY and Zhang, Zili 2017, Improved random forest algorithm to classify methicillin-resistant and methicillin-susceptible staphylococcus aureus on mass spectra, in ICBBT 2017 : Proceedings of the 2017 9th International Conference on Bioinformatics and Biomedical Technology, ACM, New York, N.Y., pp. 64-69, doi: 10.1145/3093293.3093300.

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Title Improved random forest algorithm to classify methicillin-resistant and methicillin-susceptible staphylococcus aureus on mass spectra
Author(s) Dai, YL
Fan, ZC
Zhang, LP
Xu, XY
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Association for Computing Machinery. Conference (9th : 2017 : Lisbon, Portugal)
Conference location Lisbon, Portugal
Conference dates 2017/05/14 - 2017/05/16
Title of proceedings ICBBT 2017 : Proceedings of the 2017 9th International Conference on Bioinformatics and Biomedical Technology
Publication date 2017
Start page 64
End page 69
Total pages 6
Publisher ACM
Place of publication New York, N.Y.
Keyword(s) Mass spectrometry
random forest
binning
dividing group
ISBN 9781450348799
Language eng
DOI 10.1145/3093293.3093300
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118450

Document type: Conference Paper
Collection: School of Information Technology
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