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MMDAE-HGSOC: A novel method for high-grade serous ovarian cancer molecular subtypes classification based on multi-modal deep autoencoder.
Hui-Qing Wang
Hao-Lin Li
Jia-Le Han
Zhi-Peng Feng
Hong-Xia Deng
Xiao Han
Published in:
Comput. Biol. Chem. (2023)
Keyphrases
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multi modal
support vector machine svm
support vector machine
high accuracy
classification accuracy
feature set
ovarian cancer
similarity measure
clustering method
decision rules
multi modality
data sets
classification algorithm
feature space
image classification
decision trees
machine learning