NodeConvert Table to FingerPrint


This node inputs a table, which consists of a molecule name and a n-by-m matrix of double precision numbers, where n is the number of molecules, and m is the number of descriptors/bits. The output is a binary cell which can be used in other Canvas tools.

Backend implementation

canvasCSV2FPBinary is used to implement this node.

Input Ports

  1. Port Type: Data
    A table with a molecule title column and N numerical columns, where N is the number of molecules/rows in the table

Output Ports

  1. Port Type: Data
    FingerPrints in Canvas Binary format