Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the curation and archival …

Computational integrative analysis has become a significant approach in the data-driven
exploration of biological problems. Many integration methods for cancer subtyping have …

The development of integrative methods is one of the main challenges in bioinformatics.
Network-based methods for the analysis of multiple gene-centered datasets take into …

Motivation Biological pathway is an important curated knowledge of biological processes.
Thus, cancer subtype classification based on pathways will be very useful to understand …

Cancer is a heterogeneous disease mainly driven by abnormal gene perturbations in
regulatory networks. Therefore, it is appealing to identify the common and specific perturbed …

Methods based around statistics and linear algebra have been increasingly used in attempts
to address emerging questions in microarray literature. Microarray technology is a long-used …

Multi-omics data is frequently measured to enrich the comprehension of biological
mechanisms underlying certain phenotypes. However, due to the complex relations and …

Cancer is a complex disease with a high rate of mortality. The characteristics of tumor
masses are very heterogeneous; thus, the appropriate classification of tumors is a critical …

Transcription factors are protein molecules that act as regulators of gene expression.
Aberrant protein activity of transcription factors can have a significant impact on tumor …