get.W                   Record genes W
getgobp                 Create a table to record Gene Ontology
                        Biological Process mapping results.  Every gene
                        W's community takes a row.
graph.kd                Find weights based on kernel density on the
                        graph. There are three common ways to invoke
                        'graph.kd':  'graph.kd(relate_matrix, graph,
                        smoothing.normalize=c('one'))' 
                        'graph.kd(relate_matrix, graph,
                        smoothing.normalize=c('squareM'))' 
                        'graph.kd(relate_matrix, graph,
                        smoothing.normalize=c('none'))' The first
                        method is used when the total weight of all
                        genes z is set to 'one'. In this way, those
                        genes surrounded by more genes z will not take
                        advantages over those surrounded by fewer
                        genes. In contrast, the second method takes the
                        number of genes around into consideration, the
                        result of the first method will multiply the
                        square of the number of genes around. The third
                        method does not normalize the data. Thus genes
                        with more neighbors are more likely to receive
                        higher weights.
lascouting              Find the liquid association scouting genes.
normalizeInputMatrix    Normalize the input Matrix
simulateLANDD           Simulate LANDD
visualize               Visualize: Generate a graph which vividly
                        displays the gene X, Y and W.
visualize.community     visualize ego gene X, its k step neighbours,
                        and the W gene communities: Generate a graph
                        with different community in different colors.
                        'visualize.community()'is used to create a
                        graph to display the layout of genes X, X's
                        k-step neighborhood, W and their corresponding
                        community.
xw.distance             Create a table to record the distance between
                        gene x and gene w.
