ClassMarker is a class marking and prediction tool. It detects significant differences between gene expressions measured in samples coming from different cell classes, such as healthy vs. diseased cells, different disease cells (e.g. various types of cancer), cells from different tissues, etc. Detecting the differences identifies marker genes, that are expressed differentially between the classes, suggesting which genes’ activity is affected by or causing the class membership. ClassMarker thus helps in identifying cellular phenomena pertaining to a given class (e.g. a specific cancer), and may suggest potential targets for treatment.

    The expression levels of the marker genes can also be used as “signatures” of the classes, to predict the class of unclassified samples. ClassMarker can thus help establish or ascertain a diagnosis, on the basis of the measured cellular phenomena.

    ClassMarker is available as an optional functionality of ArrayMiner.