Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data

Zhang, J, Nguyen, Thin, Truong, B, Liu, L, Li, J and Le, TD 2020, Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data, in ADMA 2020 : Advanced Data Mining and Applications 16th International Conference, ADMA 2020 Foshan, China, November 12–14, 2020 Proceedings, Springer, Berlin, Germany, pp. 395-409, doi: 10.1007/978-3-030-65390-3_31.

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Title Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data
Author(s) Zhang, J
Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Truong, B
Liu, L
Li, J
Le, TD
Conference name Advanced Data Mining and Applications. Conference (2020 : 16th : Foshan, China)
Conference location (Foshan, China)
Conference dates 12-15 Nov. 2020
Title of proceedings ADMA 2020 : Advanced Data Mining and Applications 16th International Conference, ADMA 2020 Foshan, China, November 12–14, 2020 Proceedings
Publication date 2020
Start page 395
End page 409
Total pages 15
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Autism
Feature selection
ASD prognosis
Gene expression
ISBN 9783030653897
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-65390-3_31
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30148348

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