Lingfei’s paper “Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation” has been published in PLOS Computational Biology. Congrats Lingfei!
Lingfei has posted a preprint Comparable variable selection with Lasso on arXiv. In this paper we propose statistical tests to evaluate the quality of a set of p-values and to compare p-values across different experimental batches. We then use these tests to show that a newly proposed lasso-based variable selection statistic allows for a unified FDR control across multiple variable selection tasks, unlike existing methods.
A PhD project in the MRC funded Precision Medicine Doctoral Training Programme is available. The project will study cortisol-responsive gene networks in cardiovascular disease and is a collaboration with Filippo Menolascina (Synthetic Biology) and Brian Walker (Cardiovascular Science). Project details and application guidelines are here. Application deadline 9 January 2017!
Pau will present a poster on “Host response processes and host-parasite interactions in Trypanosoma brucei infections” at the IV Bioinformatics and Genomics Symposium”.
We have posted a preprint “Efficient causal inference with hidden confounders from genome-transcriptome variation data”. In this paper we introduce a new method for causal inference between gene expression traits using the DNA variations in cis-regulatory regions as causal anchors. The method has been implemented in the Findr software, and validated using the DREAM5 Systems Genetics Challenge and GEUVADIS datasets.
Lingfei will give a talk at the RECOMB/ISCB Conference on Regulatory & Systems Genomics titled “Scalable causal gene network inference from genetics of gene expression data”.
Husain has successfully defended his PhD thesis “Cross-tissue regulatory gene networks in coronary atherosclerosis” at Karolinska Institute. Congratulations and good luck in your future career!
A warm welcome to Pau Erola who joins us as a postdoctoral Research Fellow, having completed a PhD in Computer Engineering from the Universitat Rovira i Virgili and an MSc in Biomedicine from the Universitat de Barcelona.
Hassan has successfully defended his PhD thesis
“eQTL mapping and inherited risk enrichment analysis : a systems biology approach for coronary artery disease” at Karolinska Institute. Congratulations and good luck in your new postdoc career!