The multi-omics molecular characterization of cancer opened a new horizon for our
understanding of cancer biology and therapeutic strategies. However, a tumor biopsy …

Omic technologies allow us to generate extensive data, including transcriptomic, proteomic,
phosphoproteomic and metabolomic. These data can be used to study signal transduction …

Pathway-centric approaches are widely used to interpret and contextualize-omics data.
However, databases contain different representations of the same biological pathway, which …

Abstract Background Gene Set Analysis (GSA) is arguably the method of choice for the
functional interpretation of omics results. The following paper explores the popularity and the …

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

Objectives The analysis of annotated transcripts from genome-wide expression studies may
help to understand the pathogenesis of complex diseases, such as systemic sclerosis (SSc) …

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

Background Accumulative evidences have shown that dysregulation of biological pathways
contributed to the initiation and progression of malignant tumours. Several methods for …

Multi-gene assays have been widely used to predict the recurrence risk for hormone
receptor (HR)-positive breast cancer patients. However, these assays lack explanatory …

Simple Summary In recent years both research areas of next-generation sequencing and
artificial intelligence have grown remarkably. Their intersection simultaneously gave rise to a …