Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …

Motivation Estimating the future course of patients with cancer lesions is invaluable to
physicians; however, current clinical methods fail to effectively use the vast amount of …

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

Metabolomics deals with multiple and complex chemical reactions within living organisms
and how these are influenced by external or internal perturbations. It lies at the heart of …

Background First-generation molecular profiles for human breast cancers have enabled the
identification of features that can predict therapeutic response; however, little is known about …

With the recent developments in the field of multi-omics integration, the interest in factors
such as data preprocessing, choice of the integration method and the number of different …

Motivation: Analyzing data from multi-platform genomics experiments combined with
patients' clinical outcomes helps us understand the complex biological processes that …

Healthcare data generates a huge volume of information in various formats at high velocity
with sometimes questionable veracity (Barkhordari and Niamanesh, 2015)(4V). As a result …

Objective Enormous amounts of healthcare data are becoming increasingly accessible
through the large-scale adoption of electronic health records. In this work, structured and …