Convert Table to FingerPrint
Source
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
utilities/canvasCSV2FPBinarycanvasCSV2FPBinary is used to implement this node.
Input ports
- 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
- Type: Data FingerPrints in Canvas Binary format