Reference : An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Pr...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Systems Biomedicine
http://hdl.handle.net/10993/41512
An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
English
Cecchini, Vania Filipa mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Nguyen, Thanh-Phuong mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Pfau, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
De Landtsheer, Sébastien mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
2019
1st ed.
An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
Cecchini, Vania Filipa mailto
DA NANG PUBLISHING HOUSE
5
Yes
International
9781728130026
Da Nang
Vietnam
2019 11TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)
from 24-10-2019 to 26-10-2019
IEEE
Da Nang City
Vietnam
[en] metabolic disease ; protein-protein interaction network ; miRNA-target interaction ; machine learning ; disease gene prediction ; imbalanced data
http://hdl.handle.net/10993/41512
https://ieeexplore.ieee.org/document/8919337

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