Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …

A major goal in systems biology is a comprehensive description of the entirety of all complex
interactions between different types of biomolecules—also referred to as the interactome …

Several methods were developed to mine gene–gene relationships from expression data.
Examples include correlation and mutual information methods for coexpression analysis …

Single-cell transcriptomics provides an opportunity to characterize cell-type-specific
transcriptional networks, intercellular signaling pathways and cellular diversity with …

Co-expression network analysis is one of the most powerful approaches for interpretation of
large transcriptomic datasets. It enables characterization of modules of co-expressed genes …

It is not controversial that study design considerations and challenges must be addressed
when investigating the linkage between single omic measurements and human phenotypes …

Telomere length is associated with age-related diseases and is highly heritable. It is unclear,
however, to what extent epigenetic modifications are associated with leukocyte telomere …

Infrared spectroscopy has been widely adopted by various agricultural research. The typical
spectra variables contain thousands of wavelengths. These large number of spectra …

Measuring conditional relatedness between a pair of genes is a fundamental technique and
still a significant challenge in computational biology. Such relatedness can be assessed by …

We present CoPhosK to predict kinase-substrate associations for phosphopeptide
substrates detected by mass spectrometry (MS). The tool utilizes a Naïve Bayes framework …