This function uses the Bayesian information criterion to select the optimal tuning parameters needed in netEst.undir.
● Data Source:
CranContrib
● Keywords:
● Alias: bic.netEst.undir
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NetGSA
(Package: netgsa) :
Network-based Gene Set Analysis
Tests the significance of pre-defined sets of genes (pathways) with respect to an outcome variable, such as the condition indicator (e.g. cancer vs. normal, etc.), based on the underlying biological network.
● Data Source:
CranContrib
● Keywords:
● Alias: NetGSA
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edgelist2adj
(Package: netgsa) :
Construct an adjacency matrix from an edge list
Read the edge list of a graph from a file and construct the adjacency matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: edgelist2adj
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Estimates a directed network using a lasso (L1) penalty.
● Data Source:
CranContrib
● Keywords:
● Alias: netEst.dir
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netgsa-package
(Package: netgsa) :
Network-Based Gene Set Analysis
The netgsa-package provides functions for carrying out Network-based Gene Set Analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data.
● Data Source:
CranContrib
● Keywords: package
● Alias: netgsa-package
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Estimates a sparse inverse covariance matrix using a lasso (L1) penalty.
● Data Source:
CranContrib
● Keywords:
● Alias: netEst.undir
●
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providing 
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