Clustering of Molecular Compounds with BioDICE Clustering Visualization Tool
This workflow downloads an input set of molecular compounds in SMILES format, using Chemspider service. The most frequent molecular fragments are extracted by means of MoSS tool (see http://www.borgelt.net/moss.html) , in order to obtain a set of features for each compound. Then a clustering and a visual exploration of the input dataset is performed by BioDICE service (see http://biolab.pa.icar.cnr.it/biodice.html), implementing Fast Learning Self-Organized Map (FLSOM) algorithm. Finally the output is a list of compounds for each cluster. The workflow requires as input a text file with a list of compounds names (or Chemspider IDs) and a file with a list of MoSS minimal support focus values (see MoSS docuemntation http://www.borgelt.net/doc/moss/moss.html for a detailed description).
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