Heterogeneous multiple kernel learning for breast cancer outcome evaluation

Heterogeneous multiple kernel learning for breast cancer outcome evaluation

Abstract Background Breast cancer is one of the common kinds of cancer among women, and it ranks second among all cancers in terms of incidence, after lung cancer. Therefore, it is of great necessity to study the detection methods of breast cancer. Recent research has focused on using gene expressio...

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Bibliographic Details
Main Authors: Xingheng Yu, Xinqi Gong, Hao Jiang
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Bioinformatics
Subjects:
HMKL
MKL
PSO
Hadamard kernel
Breast Cancer
Online Access:http://link.springer.com/article/10.1186/s12859-020-3483-0

Internet

http://link.springer.com/article/10.1186/s12859-020-3483-0

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