most citedDetecting low-complexity unobserved causes

13 citations · 38 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.GN2014★ 11 cited

DNA methylation variation in Arabidopsis has a genetic basis and shows evidence of local adaptation

Manu J. Dubin, Pei Zhang, Dazhe Meng +15

Epigenome modulation in response to the environment potentially provides a mechanism for organisms to adapt, both within and between generations. However, neither the extent to whi…

q-bio.GN2014★ 3 cited

Genetic Analysis of Transformed Phenotypes

Nicolo Fusi, Christoph Lippert, Neil D. Lawrence +1

Linear mixed models (LMMs) are a powerful and established tool for studying genotype-phenotype relationships. A limiting assumption of LMMs is that the residuals are Gaussian distr…

q-bio.GN2012★ 10 cited

easyGWAS: An integrated interspecies platform for performing genome-wide association studies

Dominik Grimm, Bastian Greshake, Stefan Kleeberger +5

Motivation: The rapid growth in genome-wide association studies (GWAS) in plants and animals has brought about the need for a central resource that facilitates i) performing GWAS,…

q-bio.GN2012★ 1 cited

A mixed model approach for joint genetic analysis of alternatively spliced transcript isoforms using RNA-Seq data

Barbara Rakitsch, Christoph Lippert, Hande Topa +3

RNA-Seq technology allows for studying the transcriptional state of the cell at an unprecedented level of detail. Beyond quantification of whole-gene expression, it is now possible…

q-bio.PE2012

LMM-Lasso: A Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction

Barbara Rakitsch, Christoph Lippert, Oliver Stegle +1

Exploring the genetic basis of heritable traits remains one of the central challenges in biomedical research. In simple cases, single polymorphic loci explain a significant fractio…

cs.LG2012★ 13 cited

Detecting low-complexity unobserved causes

Dominik Janzing, Eleni Sgouritsa, Oliver Stegle +2

We describe a method that infers whether statistical dependences between two observed variables X and Y are due to a "direct" causal link or only due to a connecting causal path th…