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Gene Regulatory Network Inference with Latent Force Models

Gene Regulatory Network Inference with Latent Force Models

6 October 2020
Jacob Moss
Pietro Lio
    DRL
ArXivPDFHTML

Papers citing "Gene Regulatory Network Inference with Latent Force Models"

3 / 3 papers shown
Title
Physically-Inspired Gaussian Process Models for Post-Transcriptional
  Regulation in Drosophila
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila
A. F. López-Lopera
N. Durrande
Mauricio A. Alvarez
20
13
0
29 Aug 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil
Joseph Paul Cohen
Martin Weiss
Georgy Derevyanko
Yoshua Bengio
GNN
48
33
0
18 Jun 2018
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,295
0
18 Nov 2011
1