'Omics' Clustering & GO Term Analysis App

This application will make it easy to preprocess or cluster time dynamic 'omics' data without coding experience.

• GUI based application for preprocessing or clustering time dynamic 'omics' data without coding experience.
• Inputs and outputs are compatible with my averaging app as well as DPoP.
• Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
• Data from another omics type is not a problem. Includes example transcriptomic data and example phosphoproteomic data.
• Data in another organism is no problem. Includes examples from two different organisms.
• Clustering uses kmeans be default.
• Controls for the number of repetitions and number of clusters.
• Includes silhouette plot search for ideal number of clusters.
• Included visualization of clusters and centroids.
• Includes preprocessing to exclude zero rows, adjust NaN/inf to 0, and filter based on low intensity, as well as number of consecutive hits.
• Includes ability to run hypergeometric GO term analysis on resulting clusters to identify over and under represented GO terms describing those clusters.
• See README for data format requirements.