MyOneVersusAllLocalGainAlgo Class Reference

Inheritance diagram for MyOneVersusAllLocalGainAlgo:

List of all members.

Public Member Functions
	MyOneVersusAllLocalGainAlgo (MyGainGraph &g, MyAnnotations &a, MyGainParams &p, Reporter &r, GeneOntology *go=NULL)
MyGainTriState	computeState (MyNode &node)
virtual string	getName ()
virtual void	run (const MyNodeIdList &nodesToAnnotate)

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Detailed Description

of MyOneVersusAllGainAlgo. This algorithm implements the common "guilt-by-association" approach for predicting gene function. The state of a node is the signed weighted average of the states of the neighbours of that node.

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Member Function Documentation

MyGainTriState MyOneVersusAllLocalGainAlgo::computeState

(

MyNode &

node

)

[virtual]

This method should be a member of this class since the method needs access to the states of the nodes (stored in subclasses of the class).

Reimplemented from MyOneVersusAllGainAlgo.

virtual string MyOneVersusAllLocalGainAlgo::getName

(

)

[inline, virtual]

Return the name of the algorithm.

Reimplemented from MyOneVersusAllGainAlgo.

void MyOneVersusAllLocalGainAlgo::run

(

const MyNodeIdList &

nodesToAnnotate

)

[virtual]

This method repeatedly iterates over all the nodes in nodesToAnnotate in the order in which they occur in nodesToAnnotate. It computes the state of each node in this list. The method iterates until the states converge.

Reimplemented from MyOneVersusAllGainAlgo.

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The documentation for this class was generated from the following files:

• /home/poirel/src/c++/biorithm/gain/gain-algorithm.h
• /home/poirel/src/c++/biorithm/gain/gain-algorithm.C