Abstract Background and Objective: The motivation behind cancer subtyping is to identify
subgroups of cancer patients with distinguishable phenotypes of clinical importance. It can …

Motivation Cancer is a heterogeneous group of diseases. Cancer subtyping is a crucial and
critical step to diagnosis, prognosis and treatment. Since high-throughput sequencing …

Motivation The discovery of cancer subtyping can help explore cancer pathogenesis,
determine clinical actionability in treatment, and improve patients' survival rates. However …

Simple Summary Here, we compared the performance of four different autoencoders:(a)
vanilla,(b) sparse,(c) denoising, and (d) variational for subtype detection on four cancer …

The discovery of cancer subtypes has become much-researched topic in oncology. Dividing
cancer patients into subtypes can provide personalized treatments for heterogeneous …

Integrating multi-omics data for cancer subtype recognition is an important task in
bioinformatics. Recently, deep learning has been applied to recognize the subtype of …

Due to the high heterogeneity and complexity of cancers, patients with different cancer
subtypes often have distinct groups of genomic and clinical characteristics. Therefore, the …

Cancer is an extremely complex disease and each type of cancer usually has several
different subtypes. Multi-omics data can provide more comprehensive biological information …

Background Cancer subtype classification attains the great importance for accurate
diagnosis and personalized treatment of cancer. Latest developments in high-throughput …

The increased availability of high-throughput technologies has enabled biomedical
researchers to learn about disease etiology across multiple omics layers, which shows …