Identification of monotonically expressed long non-coding RNA signatures for breast cancer using variational autoencoders.

ABSTRACT: As breast cancer is a multistage progression disease resulting from a genetic sequence of mutations, understanding the genes whose expression values increase or decrease monotonically across pathologic stages can provide insightful clues about how breast cancer initiates and advances. Utilizing variational autoencoder (VAE) networks in conjunction with traditional statistical testing, we successfully ascertain long non-coding RNAs (lncRNAs) that exhibit monotonically differential expression values in breast cancer. Subsequently, we validate that the identified lncRNAs really present monotonically changed patterns. The proposed procedure identified 248 monotonically decreasing expressed and 115 increasing expressed lncRNAs. They correspond to a total of 65 and 33 genes respectively, which p

SUBMITTER: Wang D 

PROVIDER: S-EPMC10414641 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature