A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets
A correlation-based multiview self-organizing map for the characterization of cell types in highly multiplexed in situ imaging cytometry assays (FuseSOM) is a tool for unsupervised clustering. FuseSOM is robust and achieves high accuracy by combining a Self Organizing Map architecture and a Multiview integration of correlation based metrics. This allows FuseSOM to cluster highly multiplexed in situ imaging cytometry assays.
