J H Moore

Artificial intelligence programming with LabVIEW: genetic algorithms for instrumentation control and optimization.

J H Moore, J. Moore, 1995, Computer methods and programs in biomedicine.

Data science approaches to pharmacogenetics.

J H Moore, N M Penrod, 2014, Current molecular medicine.

Entropy‐based information gain approaches to detect and to characterize gene‐gene and gene‐environment interactions/correlations of complex diseases

C I Amos, J H Moore, M. Xiong, 2011, Genetic epidemiology.

Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination

J H Moore, J. H. Moore, B A McKinney, 2009, Genes and Immunity.

The Pathway Less Traveled: Moving from Candidate Genes to Candidate Pathways in the Analysis of Genome-Wide Data from Large Scale Pharmacogenetic Association Studies.

J H Moore, J. H. Moore, R. Wilke, 2008, Current pharmacogenomics and personalized medicine.

A comparison of combinatorial partitioning and linear regression for the detection of epistatic effects of the ACE I/D and PAI‐1 4G/5G polymorphisms on plasma PAI‐1 levels

J H Moore, J. H. Moore, D. Vaughan, 2002, Clinical genetics.

From genotypes to genometypes: putting the genome back in genome-wide association studies

J H Moore, J. H. Moore, 2009, European Journal of Human Genetics.

How to increase our belief in discovered statistical interactions via large-scale association studies?

J H Moore, J. H. Moore, K. Van Steen, 2019, Human Genetics.