Man pages for TGS
Rapid Reconstruction of Time-Varying Gene Regulatory Networks

adjmxToSifCreate a .sif file from given adjacency matrix
calcPerfDiNetCalculating performance metrics of the directed net...
checkUnrolledDbnChecks whether the given unrolled DBN follows 1st Markov...
CompareNetChecks if 'di.net.adj.matrix' = 'cmi.net.adj.matrix'
computeCmiCompute Conditional Mutual Infortion (CMI)
ComputeCmiPcaCmiCompute Conditional Mutual Information (CMI) the way it is...
ComputEntropyCompute Entropy matrix from the input data
ConvertDinetToUndinetGiven a directed network, convert it into an undirected...
CountFeedFwdEdgesUndiCount the number of feed-forward edges in a given undirected...
discretizeData.2L.TeslaDiscretize input data into 2 levels.
discretizeData.2L.wt.lDiscretizes input data into two levels.
discretizeData.2L.wt.leDiscretizes input data into two levels.
discretizeData.3L.wtDiscretizes input data into three levels, given a tolerance.
discretizeData.5L.wtDiscretizes input data into five levels.
eval.wrt.known.gene.iasAccuracy of predicted directed gene reuglatory network...
GenTrueAdjMatrixGenerates True net adjacency matrix and save as an R object
LearnClr2NetMfiLearns CLR2 network
LearnClr3NetMfiLearn CLR3 network
LearnClrNetFromDiscrDataLearns CLR network from a given discretized dataset.
LearnClrNetMfiLearns CLR network
LearnClrNetMfiVer2.1Learn CLR2.1 network
learnCmiNetStructLearns the CMI structure
learnDbnStructLayer3dParDeg1Unrolled DBN structure learning with Markov Order 0 and 1.
LearnDbnStructMo1Clr3SerLearns DBN structure of Markov order 1 where candidate...
learnDbnStructMo1Layer3dParDeg1Goal: Unrolled DBN structure learning with Markov Order 1.
learnDbnStructMo1Layer3dParDeg1_v2Goal: Unrolled DBN structure learning with Markov Order 1.
LearnMiNetStructClrLearns the CLR network Replaces all non-zero edge weights...
LearnMiNetStructRowMedianLearn the mi network structure
LearnMiNetStructZstatLearn the mi network structure
LearnTgsImplementing the TGS Algorithm.
Print.common.di.edgesGiven two di network adjacency matrices, it prints the common...
reachable.nodesReturns all the nodes reachable from the given node in the...
rollDbnConvert a given unrolled Dynamic Bayesian Network (DBN) into...
rollDbn_v2Convert a given unrolled Dynamic Bayesian Network (DBN) into...
TGS documentation built on May 2, 2019, 11:42 a.m.