Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

The complexity of orphan diseases, which are those that do not have an effective treatment,
together with the high dimensionality of the genetic data used for their analysis and the high …

Background To understand the transcriptomic response to SARS-CoV-2 infection, is of the
utmost importance to design diagnostic tools predicting the severity of the infection. Methods …

Noise is a basic ingredient in data, since observed data are always contaminated by
unwanted deviations, ie, noise, which, in the case of overdetermined systems (with more …

Given the high prevalence of imported diseases in immigrant populations, it has postulated
the need to establish screening programs that allow their early diagnosis and treatment. We …

In this paper, we present a survey on the progress of radiogenomics research, which
predicts cancer genotypes from imaging phenotypes and investigates the associations …

In the current supplement, we are proud to present seventeen relevant contributions from the
6th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO …

Los linfomas son un conjunto de neoplasias hematológicas que se desarrollan en el
sistema linfático. En el presente estudio analizaremos por minería de datos experimentos …