The paper introduces a non-parametric synergy model, Hand-GP, which outperforms existing parametric models in assessing drug and toxin combination effects.

9 citations

statistical model

BioinformaticsbioRxivPreprintDec 15, 2020

Quantitative Genetic Scoring, or how to put a number on an arbitrary genetic region

Gido Schoenmacker, Priscilla Vlaming, Jonatan Pallesen…·Alejandro Arias Vásquez

This paper introduces quantitative genetic scoring (QGS) to create quantitative genetic variables from arbitrary regions, showing it can reduce genetic data by >98% while explaining phenotypic variance across different granularities.

1 citation

GWAS summary statisticsstatistical model

BioinformaticsbioRxivPreprintOct 7, 2019

Bayesian Linear Mixed Models for Motif Activity Analysis

Simone Lederer, Tom Heskes, Simon J. van Heeringen, Cornelis A. Albers

The paper compares Bayesian Linear Mixed Models and Ridge Regression for motif activity analysis, finding no performance gain in real data due to similar covariance structures.

DOI 10.1101/782615

DNA methylationChIP-seq

NeurosciencePLoS Computational BiologyPeer-reviewedJun 18, 2019

Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies

Payam Piray, Amir Dezfouli, Tom Heskes…·Nathaniel D. Daw

This paper introduces a hierarchical Bayesian inference framework for simultaneous model comparison and parameter estimation in group studies, showing improved accuracy and robustness.

140 citationstop 2%

Bayesian inferencebenchmarking

BioinformaticsPLoS Computational BiologyPeer-reviewedApr 17, 2015

✦ In-depth digest

MAGMA: Generalized Gene-Set Analysis of GWAS Data

Christiaan de Leeuw, Joris M. Mooij, Tom Heskes, Daniëlle Posthuma

MAGMA couples principal-components regression gene tests with gene-level regression for gene sets, detecting more Crohn's Disease genes and pathways than PLINK while running far faster.

3,651 citationstop 1%

humanGWAS summary statistics