Corpus ID: 237490863

Bayesian inference of PolII dynamics over the exclusion process

@inproceedings{Cavallaro2021BayesianIO,
  title={Bayesian inference of PolII dynamics over the exclusion process},
  author={Massimo Cavallaro and Yuexuan Wang and Daniel Hebenstreit and Ritabrata Dutta},
  year={2021}
}
Massimo Cavallaro, 2, 3, ∗ Yuexuan Wang, Daniel Hebenstreit, and Ritabrata Dutta Mathematics Institute, University of Warwick, Coventry, UK School of Life Sciences, University of Warwick, Coventry, UK Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK Institute of Applied Statistics, Johannes Kepler Universität, Linz, Austria Department of Statistics, University of Warwick, Coventry, UK 

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Gaussian Processes for Machine Learning
TLDR
The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics, and deals with the supervised learning problem for both regression and classification. Expand
Predicted density profiles for gene KRT19 from PolII ChIP-seq. Figure keys as in Fig
    Predicted density profiles for gene KRT19 from Spt5 ChIP-seq. Figure keys as in Fig