Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis.
Charles Theodore KentLeila BagheriyeJohan KwisthoutPublished in: BIOSTEC (1) (2024)
Keyphrases
- cancer diagnosis
- imbalanced datasets
- network architecture
- early diagnosis
- neural network
- medical diagnosis
- model based diagnosis
- regular expressions
- benchmark datasets
- fault diagnosis
- breast cancer
- gene selection
- neural model
- imbalanced data
- gene expression datasets
- gene expression profiles
- training dataset
- associative memory