Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach

POLARIS: Polygenic LD-adjusted risk score approach for set-based analysis of GWAS data

(2018) Emily Baker et al.   GENETIC EPIDEMIOLOGY

Supervised Machine Learning for Population Genetics: A New Paradigm

(2018) Daniel R. Schrider et al.   TRENDS IN GENETICS

Polygenic risk of Parkinson disease is correlated with disease age at onset

(2015) Valentina Escott-Price et al.   ANNALS OF NEUROLOGY

Common polygenic variation enhances risk prediction for Alzheimer’s disease

(2015) Valentina Escott-Price et al.   BRAIN

The number of subjects per variable required in linear regression analyses

(2015) Peter C. Austin et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Meta-analysis of the heritability of human traits based on fifty years of twin studies

(2015) Tinca J C Polderman et al.   NATURE GENETICS

Detection and replication of epistasis influencing transcription in humans

(2014) Gibran Hemani et al.   NATURE

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology

(2013) Ching Lee Koo et al.   Biomed Research International

SVM-Based Generalized Multifactor Dimensionality Reduction Approaches for Detecting Gene-Gene Interactions in Family Studies

(2012) Yao-Hwei Fang et al.   GENETIC EPIDEMIOLOGY

Genome-wide significant associations in schizophrenia to ITIH3/4, CACNA1C and SDCCAG8, and extensive replication of associations reported by the Schizophrenia PGC

(2012) M L Hamshere et al.   MOLECULAR PSYCHIATRY

Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

(2012) S Hong Lee et al.   NATURE GENETICS

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits

(2012) Jian Yang et al.   NATURE GENETICS

Genetic architectures of psychiatric disorders: the emerging picture and its implications

(2012) Patrick F. Sullivan et al.   NATURE REVIEWS GENETICS

EpiGPU: exhaustive pairwise epistasis scans parallelized on consumer level graphics cards

(2011) G. Hemani et al.   BIOINFORMATICS

Genetic Classification of Populations Using Supervised Learning

(2011) Michael Bridges et al.   PLoS One

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Identification of Type 2 Diabetes-associated combination of SNPs using Support Vector Machine

(2010) Hyo-Jeong Ban et al.   BMC GENETICS

A random forest approach to the detection of epistatic interactions in case-control studies

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

Detecting gene–gene interactions that underlie human diseases

(2009) Heather J Cordell   NATURE REVIEWS GENETICS

A support vector machine approach for detecting gene-gene interaction

(2007) Shyh-Huei Chen et al.   GENETIC EPIDEMIOLOGY