activity
20122017
most citedEfficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

41 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2017★ 7 cited

Wisdom of the crowd from unsupervised dimension reduction

Lingfei Wang, Tom Michoel

Wisdom of the crowd, the collective intelligence derived from responses of multiple human or machine individuals to the same questions, can be more accurate than each individual, a…

stat.ME2017★ 2 cited

Controlling false discoveries in Bayesian gene networks with lasso regression p-values

Lingfei Wang, Tom Michoel

Bayesian networks can represent directed gene regulations and therefore are favored over co-expression networks. However, hardly any Bayesian network study concerns the false disco…

q-bio.GN2016★ 41 cited

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

Lingfei Wang, Tom Michoel

Mapping gene expression as a quantitative trait using whole genome-sequencing and transcriptome analysis allows to discover the functional consequences of genetic variation. We dev…

q-bio.MN2015★ 5 cited

Detection of regulator genes and eQTLs in gene networks

Lingfei Wang, Tom Michoel

Genetic differences between individuals associated to quantitative phenotypic traits, including disease states, are usually found in non-coding genomic regions. These genetic varia…

astro-ph.CO2012★ 7 cited

Creating perturbations from a decaying field during inflation

Anupam Mazumdar, Lingfei Wang

Typically the fluctuations generated from a decaying field during inflation do not contribute to the large scale structures. In this paper we provide an example where it is possibl…