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D

decompose(ProteinNetwork, float) - Method in class procope.data.complexes.ComplexSet
Decomposes a complex set with respect to a given scores network.
DEFAULT_BINARY - Static variable in class procope.methods.clustering.MarkovClusterer
Default MCL binary: mcl, requires this binary in the current PATH
DEFAULT_DELIMITER - Static variable in class procope.data.complexes.ComplexSetWriter
Default delimiter which seperates the proteins of a complex: TAB
DEFAULT_SEPARATOR - Static variable in class procope.data.complexes.ComplexSetReader
Default separator which seperates the proteins of a complex: TAB
DEFAULT_SEPARATOR - Static variable in class procope.data.networks.NetworkWriter
Default separator for the fields of each edge: TAB
deleteEdge(int, int) - Method in class procope.data.networks.ProteinNetwork
Deletes an edge from the network along with all of its annotations.
depthFirstSearch(int, NetworkSearchCallback) - Method in class procope.data.networks.ProteinNetwork
Performs a depth-first search one the network.
derivePurificationData(boolean) - Method in class procope.data.networks.ProteinNetwork
Creates a purification data object from a directed network.
DiceCoefficients - Class in procope.methods.scores
Provides an efficient implementation of "Dice coefficients", a protein protein affinity measure derived from purification datasets according to
DiceCoefficients(PurificationData) - Constructor for class procope.methods.scores.DiceCoefficients
Creates a new Dice coefficients calculator
DummyClusterer - Class in procope.examples
 
DummyClusterer(int, int) - Constructor for class procope.examples.DummyClusterer
 
DummyClusterer - Class in procope.tools.userclasses
A simple user-defined clusterer.
DummyClusterer(int, int) - Constructor for class procope.tools.userclasses.DummyClusterer
Create new test clusterer
DummyScores - Class in procope.examples
 
DummyScores(PurificationData) - Constructor for class procope.examples.DummyScores
 

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