Description Usage Arguments Value Author(s) References Examples
Applies the dependency network approach to neural network array
1 |
neuralarray |
Array from |
cores |
Numeric.
Number of cores to use in computing results.
Set to |
... |
Additional arguments from |
Returns an array of n x n x m dependency matrices
Alexander Christensen <alexpaulchristensen@gmail.com>
Jacob, Y., Winetraub, Y., Raz, G., Ben-Simon, E., Okon-Singer, H., Rosenberg-Katz, K., ... & Ben-Jacob, E. (2016). Dependency Network Analysis (DEPNA) reveals context related influence of brain network nodes. Scientific Reports, 6, 27444.
Kenett, D. Y., Tumminello, M., Madi, A., Gur-Gershgoren, G., Mantegna, R. N., & Ben-Jacob, E. (2010). Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market. PLoS one, 5, e15032.
1 2 3 4 5 6 | ## Not run:
neuralarray <- convertConnBrainMat()
dependencyneuralarray <- depna(neuralarray)
## End(Not run)
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