Biological systems function through complex interactions between various 'omics
(biomolecules), and a more complete understanding of these systems is only possible …

Patient similarity networks (PSNs), where patients are represented as nodes and their
similarities as weighted edges, are being increasingly used in clinical research. These …

Histopathology and genomic profiling are cornerstones of precision oncology and are
routinely obtained for patients with cancer. Traditionally, histopathology slides are manually …

Background There are emerging studies suggesting that non-alcoholic fatty liver disease
(NAFLD) is a heterogeneous disease with multiple etiologies and molecular phenotypes …

In a subset of patients with mental disorders, such as depression, low-grade inflammation
and altered immune marker concentrations are observed. However, these immune …

Simple Summary Breast cancer is a heterogeneous disease, and several attempts have
been made to subtype it. Based on the abundance of 86 proteins, we identified six …

Cells are complex systems whose behavior emerges from a huge number of reactions
taking place within and among different molecular districts. The availability of bulk and …

Glioma is currently one of the most prevalent types of primary brain cancer. Given its high
level of heterogeneity along with the complex biological molecular markers, many efforts …

We present an innovative strategy for integrating whole-genome-wide multi-omics data,
which facilitates adaptive amalgamation by leveraging hidden layer features derived from …

The availability of large amount of unlabeled and unstructured real-time textual data poses a
challenge for training models in various tasks. Labeled data is essential for both training and …