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Author Details
Full Name
Peter Andrews
Affiliation
Institute for Biomedical Informatics, Perelman School of Medicine
ORCID
Career Start Year
2009
Papers
14
H Index
8
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
28572842
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases.
BioData Min
2017
27999618
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies.
BioData Min
2016
25403539
Epistasis analysis using multifactor dimensionality reduction.
Methods Mol Biol
2015
26248984
A Tool Set for the Genome-Wide Analysis of Neurospora crassa by RT-PCR.
G3 (Bethesda)
2015
25395175
Heuristic identification of biological architectures for simulating complex hierarchical genetic interactions.
Genet Epidemiol
2015
24641809
Interaction between allelic variations in vitamin D receptor and retinoid X receptor genes on metabolic traits.
BMC Genet
2014
25279001
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.
BioData Min
2014
25165488
Computational genetics analysis of grey matter density in Alzheimer's disease.
BioData Min
2014
23505451
Functional analysis of the Aspergillus nidulans kinome.
PLoS One
2013
23805232
A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits.
PLoS One
2013
22839596
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS.
BioData Min
2012
21091664
A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.
Ann Hum Genet
2011
20924193
A simple and computationally efficient sampling approach to covariate adjustment for multifactor dimensionality reduction analysis of epistasis.
Hum Hered
2010
19703940
Microarray analysis of cytoplasmic versus whole cell RNA reveals a considerable number of missed and false positive mRNAs.
RNA
2009
1 - 14 of 14
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