Ross DeVito
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View article: Modeling nonlinear and interaction effects of spatiotemporal and other non-genetic factors improves phenotypic prediction for complex traits
Modeling nonlinear and interaction effects of spatiotemporal and other non-genetic factors improves phenotypic prediction for complex traits Open
Adjusting for non-genetic factors can improve genetic association testing and polygenic prediction, yet most studies rely on linear adjustments for a small set of covariates. Location and time covariates are typically not included in genet…
View article: A deep population reference panel of tandem repeat variation
A deep population reference panel of tandem repeat variation Open
Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing fr…
View article: A deep population reference panel of tandem repeat variation
A deep population reference panel of tandem repeat variation Open
Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing fr…
View article: Modeling Memory Imprints Induced by Interactions in Social Networks
Modeling Memory Imprints Induced by Interactions in Social Networks Open
View article: A Machine Learning Approach to Predicting Continuous Tie Strengths
A Machine Learning Approach to Predicting Continuous Tie Strengths Open
Relationships between people constantly evolve, altering interpersonal behavior and defining social groups. Relationships between nodes in social networks can be represented by a tie strength, often empirically assessed using surveys. Whil…