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Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery.
Ashka Shah
Arvind Ramanathan
Valérie Hayot-Sasson
Rick Stevens
Published in:
PASC (2023)
Keyphrases
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experimental design
biological networks
sample size
causal models
active learning
biological processes
machine learning
feature selection
high throughput
biological data
protein protein interaction networks
data sets
databases
reverse engineering
systems biology