Author Info
Name
Affiliation
Papers
NIKO BEERENWINKEL
Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, Basel, Switzerland
17
Collaborators
Citations 
PageRank 
83
11
6.13
Referers 
Referees 
References 
56
428
89
Search Limit
100428
Title
Citations
PageRank
Year
Drug-Induced Resistance Evolution Necessitates Less Aggressive Treatment00.342021
Inferring Perturbation Profiles Of Cancer Samples00.342021
V-Pipe: A Computational Pipeline For Assessing Viral Genetic Diversity From High-Throughput Data10.362021
Statistical tests for intra-tumour clonal co-occurrence and exclusivity00.342021
Comparing Mutational Pathways To Lopinavir Resistance In Hiv-1 Subtypes B Versus C00.342021
Predicting colorectal cancer risk from adenoma detection via a two-type branching process model.10.482020
A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment.00.342020
Bayesian Non-parametric Clustering of Single-Cell Mutation Profiles.00.342020
Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation.10.372020
Bioinformatics for precision oncology.20.372019
Inferring signalling dynamics by integrating interventional with observational data.00.342019
PyBDA: a command line tool for automated analysis of big biological data sets.00.342019
Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.10.362018
Single cell network analysis with a mixture of Nested Effects Models.00.342018
Network-based integration of multi-omics data for prioritizing cancer genes.20.382018
NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis.20.412018
Inferring modulators of genetic interactions with epistatic nested effects models.10.362017