activity
20132021
most citedApplication of compressed sensing to genome wide association studies and genomic selection

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.GN2021

From Genotype to Phenotype: polygenic prediction of complex human traits

Timothy G. Raben, Louis Lello, Erik Widen +1

Decoding the genome confers the capability to predict characteristics of the organism(phenotype) from DNA (genotype). We describe the present status and future prospects of genomic…

q-bio.GN2017

Accurate Genomic Prediction Of Human Height

Louis Lello, Steven G. Avery, Laurent Tellier +3

We construct genomic predictors for heritable and extremely complex human quantitative traits (height, heel bone density, and educational attainment) using modern methods in high d…

q-bio.GN2014★ 3 cited

On the genetic architecture of intelligence and other quantitative traits

Stephen D. H. Hsu

How do genes affect cognitive ability or other human quantitative traits such as height or disease risk? Progress on this challenging question is likely to be significant in the ne…

q-bio.GN2014★ 1 cited

Determination of Nonlinear Genetic Architecture using Compressed Sensing

Chiu Man Ho, Stephen D. H. Hsu

We introduce a statistical method that can reconstruct nonlinear genetic models (i.e., including epistasis, or gene-gene interactions) from phenotype-genotype (GWAS) data. The comp…

q-bio.GN2013★ 5 cited

Application of compressed sensing to genome wide association studies and genomic selection

Shashaank Vattikuti, James J. Lee, Christopher C. Chang +2

We show that the signal-processing paradigm known as compressed sensing (CS) is applicable to genome-wide association studies (GWAS) and genomic selection (GS). The aim of GWAS is…