Background Classifying breast cancer subtypes is crucial for clinical diagnosis and
treatment. However, the early symptoms of breast cancer may not be apparent. Rapid …

It is now clear that major malignancies are heterogeneous diseases associated with diverse
molecular properties and clinical outcomes, posing a great challenge for more …

Classification of breast cancer subtypes using multi-omics profiles is a difficult problem since
the data sets are high-dimensional and highly correlated. Deep neural network (DNN) …

Background. Breast invasive carcinoma (BRCA) is not a single disease as each subtype has
a distinct morphology structure. Although several computational methods have been …

Background Breast cancer is a highly heterogeneous disease that comprises multiple
biological components. Owing its diversity, patients have different prognostic outcomes; …

The identification of cancer subtypes is vital to advance the precision of cancer disease
diagnosis and therapy. Several works had been done to integrate multiple types of …

Breast cancer is a heterogeneous disease caused by various alterations in the genome or
transcriptome. Molecular subtypes of breast cancer have been reported, but useful …

Cancer subtyping delivers valuable insights into the study of cancer heterogeneity and
fulfills an essential step toward personalized medicine. For example, studies in breast …

Breast cancer is a heterogeneous disease and can be divided into several subtypes with
unique prognostic and molecular characteristics. The classification of breast cancer …

Breast Cancer comprises multiple subtypes implicated in prognosis. Existing stratification
methods rely on the expression quantification of small gene sets. Next Generation …