Microarray Cluster Targets/Slides

Available Data

This lists data structures appropriate for the edit box which currently has focus. You can double-click a name to enter it in the edit box.

Data Format

The data can be supplied in either of the following formats:

Single Variate for Log-ratios with Slide Factor - All the log-ratios are stacked into a single variate, with factors that index the slide and probe/gene
Pointer to Log-ratio Variates for each Slide - Each slide has its data in a variate, and a pointer which points to this set of variates is provided. The Slides factor is not required, but if supplied it should just have one entry for each slide in the order of the variates in the pointer. The Probes/Genes factor is that for a single slide, and all slides must have a common layout.

The spreadsheet stack and unstack menus can be used to reorganise the data between these two formats.

Log-ratios

The log-ratios to cluster the slides on.

Probes/Genes

The factor that identifies the probes or genes on a slide. If the data are in pointer format, this has just one entry per probe, but if the data are in variate (stacked) format, this factor indexes the probes in the log-ratio variate.

Targets or Slides

The factor that identifies the slides. If the data are in pointer format, this has just one entry per slide, but if the data are in variate (stacked) format, this factor indexes the slides in the log-ratio variate.

Link Method

A number of methods for clustering are available and vary according to the way in which 'closest' is defined at each stage of merging groups. The following possibilities are available:

Single Link	defines the similarity between two clusters as the maximum similarity between any two samples in those clusters
Nearest Neighbour	synonym for Single link
Complete Link	defines the similarity between two clusters as the minimum similarity between any two samples in those clusters
Furthest Neighbour	synonym for Complete Link
Average Link	defines the similarity between a cluster and two merging clusters as the average of the similarities with each of the original clusters. It therefore replaces two merging clusters by their mean, unweighted by cluster size
Group Average	an average is taken over all the samples in the two merging clusters. Thus, the original clusters are replaced by their mean, weighted by cluster size
Median Sorting	can be thought of in terms of clusters being represented by points in a multidimensional space; when two clusters join, the new cluster is represented by the midpoint of the original cluster points

Distance Method

The method of combining the probe similarities together.

Type	Contribution
Correlation	(1 + CORRELATION(Slide[i];Slide[j]))/2
Euclidean Distance	SUM(1 - {(x_i - x_j) / range}**2)
City block Distance	SUM(1 - \|x_i - x_j\|/range)

Use only top % of responding probes

Cluster using only the a percentage of the probes. These probes chosen will be those with largest average absolute responses.

Action Buttons

Run	Run the analysis.
Cancel	Close the menu without further changes.
Options	Opens a dialog where additional options and settings can be specified for the analysis.
Defaults	Set the menu settings back to the default settings. Clicking the right mouse on this button produces a pop-up menu where you can choose to set the menu using the currently stored defaults or the GenStat default settings.
Store	Opens a dialog to specify names of structures to store the results from the analysis. The names to save the structures should be supplied before running the analysis.