C Darabos, MJ White, BE Graham, DN Leung… - BioData Mining, 2014 - Springer
Background Networks are commonly used to represent and analyze large and complex systems of interacting elements. In systems biology, human disease networks show …
C Darabos, ED Grussing, ME Cricco… - Pacific symposium on …, 2014 - World Scientific
Environmental exposure is a key factor of understanding health and diseases. Beyond genetic propensities, many disorders are, in part, caused by human interaction with harmful …
Genome‐wide association studies (GWAS) have led to the discovery of over 200 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes mellitus (T2DM) …
T Hu, C Darabos, ME Cricco, E Kong… - Pacific Symposium on …, 2014 - World Scientific
The large volume of GWAS data poses great computational challenges for analyzing genetic interactions associated with common human diseases. We propose a computational …
C Darabos, J Qiu, JH Moore - Biocomputing 2016: Proceedings of …, 2016 - World Scientific
Complex diseases are the result of intricate interactions between genetic, epigenetic and environmental factors. In previous studies, we used epidemiological and genetic data linking …
C Darabos, JH Moore - Epistasis: Methods and Protocols, 2015 - Springer
Networks are central to turning the colossal amount of information generated by high- throughput genetic technology into manageable sources of knowledge. They are an intuitive …
BE Graham, C Darabos, M Huang… - Genetic …, 2017 - Wiley Online Library
Methods to identify genes or pathways associated with complex diseases are often inadequate to elucidate most risk because they make implicit and oversimplified …
Interpreting the high volume of genomic data is a challenge for epidemiologists, anthropologists and geneticists that aim to understand the genetic basis of populations and …