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NodeConvert 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/canvasCSV2FPBinary
canvasCSV2FPBinary is used to implement this node.
Input ports
  1. FingerPrints in table format 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. FingerPrints in Canvas Binary format Type: Data
    FingerPrints in Canvas Binary format

This node is not contained in any workflows on the KNIME Hub, and not related to any outgoing nodes.

Add to KNIME Analytics Platform

Drag node into the workbench of KNIME Analytics Platform 4.x

Extension

This node is part of the extension

Schrödinger Extensions for KNIMETrusted extension
Version 19.3.13
Short link

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