6.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH3 papers
- ZHAW Zurich University of Applied SciencesCH3 papers
- ETH ZurichCH2 papers
- SIB Swiss Institute of BioinformaticsCH2 papers
- Garvan Institute of Medical ResearchAU1 paper
- Lund UniversitySE1 paper
- Norwegian University of Science and TechnologyNO1 paper
- Queen Mary University of LondonGB1 paper
- Seminar for StatisticsCH1 paper
- St Vincent's ClinicAU1 paper
- University of CambridgeGB1 paper
- UNSW SydneyAU1 paper
5 papers
Kinetics of seeded protein aggregation: theory and application
Alexander J. Dear, Georg Meisl, Jing Hu +2
``Seeding'' is the addition of preformed fibrils to a solution of monomeric protein to accelerate its aggregation into new fibrils. It is a versatile and widely-used tool for scien…
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology
Gilles Kratzer, Reinhard Furrer
Bayesian network modelling is a well adapted approach to study messy and highly correlated datasets which are very common in, e.g., systems epidemiology. A popular approach to lear…
BayMeth: Improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
Andrea Riebler, Mirco Menigatti, Jenny Z. Song +6
DNA methylation (DNAme) is a critical component of the epigenetic regulatory machinery and aberrations in DNAme patterns occur in many diseases, such as cancer. Mapping and underst…
Agreeing to disagree, some ironies, disappointing scientific practice and a call for better: reply to <<The poor performance of TMM on microRNA-Seq>>
Mark D. Robinson
This letter is a response to a Divergent Views article entitled <<The poor performance of TMM on microRNA-Seq>> (Garmire and Subramaniam 2013), which was a response to our Divergen…
MissForest - nonparametric missing value imputation for mixed-type data
Daniel J. Stekhoven, Peter Bühlmann
Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often dep…