Al-Sayed, Sara
Koeppl, Heinz
2017-07-22
<p>Time-course data observed under the perturbation of biological systems contain rich information about the salient structure of interconnectivity among the entities of the network underlying the system. Challenges: few noisy high-dimensional measurements at<br>
non-uniformly–spaced intervals; missing data; and computational complexity of inference, parameter estimation, and sparse structure search.</p>
https://doi.org/10.5281/zenodo.841133
oai:zenodo.org:841133
Zenodo
https://zenodo.org/communities/precise
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.841132
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
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ISMB/ECCB 2017, 25th Conference on Intelligent Systems for Molecular Biology / 16th European Conference on Computational Biology, Prague, 21-25 July 2017
Fast biological network reconstruction from high-dimensional time-course perturbation data using sparse multivariate Gaussian processes
info:eu-repo/semantics/conferencePoster