Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping

S Paul - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Background and Objective: The motivation behind cancer subtyping is to identify
subgroups of cancer patients with distinguishable phenotypes of clinical importance. It can …
被引用次数：19 相关文章

Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.

S Paul - Computers in Biology and Medicine, 2022 - europepmc.org
Methods The proposed framework first performs a supervised feature selection based on the
survival status of the patients. The selected features from each of the omic data are passed …

Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping

Madhumita, S Paul - 2022 - dl.acm.org
Abstract Background and Objective: The motivation behind cancer subtyping is to identify
subgroups of cancer patients with distinguishable phenotypes of clinical importance. It can …

Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping

S Paul - Computers in biology and medicine, 2022 - pubmed.ncbi.nlm.nih.gov
Background and objective The motivation behind cancer subtyping is to identify subgroups
of cancer patients with distinguishable phenotypes of clinical importance. It can assist in …