Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …

The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …

Advances in the technologies and informatics used to generate and process large biological
data sets (omics data) are promoting a critical shift in the study of biomedical sciences. While …

Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are
in a strong need of integrative machine learning models for better use of vast volumes of …

Recent advances in high-throughput technologies have led to the emergence of systems
biology as a holistic science to achieve more precise modeling of complex diseases. Many …

Multi-omics approaches have become a reality in both large genomics projects and small
laboratories. However, the multi-omics research community still faces a number of issues …

In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …