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saveProteinAnnotations(String)
- Static method in class procope.tools.namemapping.
ProteinManager
Saves protein annotations to a given file.
saveProteinAnnotations(File)
- Static method in class procope.tools.namemapping.
ProteinManager
Saves protein annotations to a given file.
saveProteinAnnotations(OutputStream)
- Static method in class procope.tools.namemapping.
ProteinManager
Saves protein annotations to a given output stream.
scalarMultiplication(float)
- Method in class procope.data.networks.
ProteinNetwork
Multiplies all existing edge weights of the network with a given value.
ScoresCalculator
- Class in
procope.methods.scores
Extended by all classes which calculate interaction scores between proteins based on experimental or other data.
ScoresCalculator()
- Constructor for class procope.methods.scores.
ScoresCalculator
SequenceAligner
- Class in
procope.tools
Calculates pairwise sequence alignments using the
JAligner library
.
SequenceAligner()
- Constructor for class procope.tools.
SequenceAligner
Creates a new sequence aligner with activated caching.
SequenceAligner(boolean)
- Constructor for class procope.tools.
SequenceAligner
Creates a new sequence aligner.
Sequences
- Class in
procope.methods.interologs
A set of sequences internally represented by a internal_id=>sequence mapping.
Sequences()
- Constructor for class procope.methods.interologs.
Sequences
Creates an empty sequences set.
Sequences(Map<Integer, String>)
- Constructor for class procope.methods.interologs.
Sequences
Creates a sequence object from a given map.
set(int, int, int)
- Method in class procope.tools.
SparseMatrixInt
Set a cell in the matrix to a given value.
setCaseSensitivity(boolean)
- Static method in class procope.tools.namemapping.
ProteinManager
Set if text identifiers should be case sensitive.
setEdge(int, int, float)
- Method in class procope.data.networks.
ProteinNetwork
Sets a weighted edge between two given proteins.
setEdge(int, int)
- Method in class procope.data.networks.
ProteinNetwork
Sets an edge between two given proteins to a standard weight of 1.0.
setEdgeAnnotation(int, int, String, Object)
- Method in class procope.data.networks.
ProteinNetwork
Labels an edge between two proteins with a given key/value pair.
setEdgeAnnotations(int, int, Map<String, Object>)
- Method in class procope.data.networks.
ProteinNetwork
Labels an edge in the network with a given set of annotations.
setFullEdge(NetworkEdge)
- Method in class procope.data.networks.
ProteinNetwork
Takes an existing
NetworkEdge
object and inserts the edge into this network.
setGapExtend(float)
- Method in class procope.tools.
SequenceAligner
Sets the gap extension penality.
setGapOpen(float)
- Method in class procope.tools.
SequenceAligner
Sets the gap open penality.
setInflation(float)
- Method in class procope.methods.clustering.
MCLParameters
Set the inflation coefficient
setIterateEdgesTwice(boolean)
- Method in class procope.data.networks.
ProteinNetwork
For undirected networks this function determines the iterator behaviour.
setMapping(ProteinNetwork)
- Method in class procope.data.networks.
CombinationRules
Sets a mapping, mapped nodes will be merged into single nodes in the resulting network.
setMatrix(String)
- Method in class procope.tools.
SequenceAligner
Sets the substitution matrix.
setMCLBinary(String)
- Static method in class procope.methods.clustering.
MarkovClusterer
Sets the path to the
mcl
binary to be used.
setNodeMergeSeparator(String)
- Method in class procope.data.networks.
CombinationRules
Defines how the labels of merged nodes are separated.
setP(float)
- Method in class procope.methods.clustering.
MCLParameters
Set the pruning number
setPct(float)
- Method in class procope.methods.clustering.
MCLParameters
Set
mass percentage below which to apply recovery
setR(float)
- Method in class procope.methods.clustering.
MCLParameters
Set the recover number
setRegularExpression(String)
- Static method in class procope.tools.namemapping.
ProteinManager
Use given regular expression to parse the actual identifier from the next incoming text identifiers (
see above
).
setS(float)
- Method in class procope.methods.clustering.
MCLParameters
Set the selection number
setScheme(int)
- Method in class procope.methods.clustering.
MCLParameters
Sets a scheme for the parameters p,s,r and pct.
setSeed(long)
- Method in class procope.tools.math.
MTRandom
This method resets the state of this instance using the 64 bits of seed data provided.
setSeed(byte[])
- Method in class procope.tools.math.
MTRandom
This method resets the state of this instance using the byte array of seed data provided.
setSeed(int[])
- Method in class procope.tools.math.
MTRandom
This method resets the state of this instance using the integer array of seed data provided.
setSeparator(String)
- Static method in class procope.data.networks.
NetworkReader
Set the separator used to divide protein identifiers, scores and eventual annotations in each line of the network data.
setTimeout(int)
- Method in class procope.methods.clustering.
MCLParameters
Set the timeout (in seconds) after which the mcl call will be terminated.
setWeightMergePolicy(CombinationRules.WeightMergePolicy)
- Method in class procope.data.networks.
CombinationRules
Sets how the weights of identical edges are merged in the resulting network.
setWeightMergePolicy(CombinationRules.WeightMergePolicy, String, String)
- Method in class procope.data.networks.
CombinationRules
Sets how the weights of identical edges are merged in the resulting network.
similarity
- Variable in class procope.methods.clustering.
HierarchicalTreeNode
Similarity at which the children of this node were merged
size()
- Method in class procope.data.complexes.
Complex
Returns the size of the complex.
size()
- Method in class procope.evaluation.comparison.
ComplexMappings
Returns the number of mappings in this mapping set
SocioAffinityCalculator
- Class in
procope.methods.scores
Calculates
socio affinity scores
according to
SocioAffinityCalculator(PurificationData)
- Constructor for class procope.methods.scores.
SocioAffinityCalculator
Creates a new socio affinity scores calculator based on a given purification data set.
sortBySize(boolean)
- Method in class procope.data.complexes.
ComplexSet
Sorts the list of complexes by their size.
SparseMatrixInt
- Class in
procope.tools
Implementation of a matrix (2-dimensional array) of integers.
SparseMatrixInt(boolean)
- Constructor for class procope.tools.
SparseMatrixInt
Creates an empty matrix
SpearmanCoefficient
- Class in
procope.tools.math
Implements Spearman's rank correlation coefficient to calulate the correlation between two given rows of data points.
SpearmanCoefficient()
- Constructor for class procope.tools.math.
SpearmanCoefficient
Creates the Spearman rank coefficient object.
StringToIntMapper
- Class in
procope.data
Maps strings to integers.
StringToIntMapper()
- Constructor for class procope.data.
StringToIntMapper
Creates a new string to int mapper.
Synonyms
- Class in
procope.tools.namemapping
Manages synonyms for protein identifiers.
Synonyms()
- Constructor for class procope.tools.namemapping.
Synonyms
Creates a new empty set of synonyms
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