Pathway enrichment analysis is indispensable for interpreting omics datasets and
generating hypotheses. However, the foundations of enrichment analysis remain elusive to …

Functional enrichment analysis or pathway enrichment analysis (PEA) is a bioinformatics
technique which identifies the most over-represented biological pathways in a list of genes …

Applying computational statistics or machine learning methods to data is a key component of
many scientific studies, in any field, but alone might not be sufficient to generate robust and …

Data are the most important elements of bioinformatics: Computational analysis of
bioinformatics data, in fact, can help researchers infer new knowledge about biology …

Medical imaging is a great asset for modern medicine, since it allows physicians to spatially
interrogate a disease site, resulting in precise intervention for diagnosis and treatment, and …

Machine learning has become a powerful tool for computational analysis in the biomedical
sciences, with its effectiveness significantly enhanced by integrating domain-specific …

Some scientific studies involve huge amounts of bioinformatics data that cannot be analyzed
on personal computers usually employed by researchers for day-to-day activities but rather …

Pangenomics is a relatively new scientific field which investigates the union of all the
genomes of a clade. The word pan means everything in ancient Greek; the term …

Here, we show that combined use of the EZH2 inhibitor GSK126 and the CDK4/6 inhibitor
abemaciclib synergistically enhances antitumoral effects in preclinical GBM models. Dual …

To date, our understanding of how HIV infection impacts vaccine-induced cellular immunity
is limited. Here, we investigate inflammation, immune activation and antigen-specific T cell …