Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers.
Jayeon LimSoYoun BangJiyeon KimCheolyong ParkJunsang ChoSunghwan KimPublished in: Comput. Math. Methods Medicine (2019)
Keyphrases
- deep learning
- ovarian cancer
- differentially expressed
- unsupervised learning
- machine learning
- mental models
- gene expression
- early detection
- weakly supervised
- microarray
- mass spectrometry
- signaling pathways
- differentially expressed genes
- biologically meaningful
- high dimensional data
- microarray data
- high throughput
- gene expression profiles
- cancer diagnosis
- object recognition