Convert 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

utilities/canvasCSV2FPBinary
canvasCSV2FPBinary is used to implement this node.

Options

Title source (Column or RowID)
Select the molecule names source, either RowID or the column

Input Ports

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A table with a molecule title column and N numerical columns, where N is the number of molecules/rows in the table

Output Ports

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FingerPrints in Canvas Binary format

Views

Std output/error of Convert Table to FingerPrints
Std output/error of Convert Table to FingerPrints

Workflows

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Links

Developers

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