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Peptide Regression

Pre-processing and Random Forest regression workflow in scope of Deep directed evolution. (Authors: Kerem Haznedar (BSc), Alp Deniz Öğüt (MSc), Yucesoy Research Group, IZTECH, Turkiye)

Nodes

  • Row Filter9 ×
  • CSV Reader6 ×
  • CSV Writer4 ×
  • Column Filter4 ×
  • Column Renamer4 ×
  • Column Merger3 ×
  • Value Lookup3 ×
  • Math Formula2 ×
  • Partitioning2 ×
  • Python Script2 ×
  • Linear Correlation1 ×
  • Missing Value1 ×
  • Random Forest Learner (Regression)1 ×
  • Random Forest Predictor (Regression)1 ×
  • Scatter Plot1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Math Expression (JEP)
  • FeatureKNIME Python Integration
  • FeatureKNIME Views

Links

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Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: gulay-haznedar
Created at: 2024-01-29
On NodePit since: 2024-03-08
Last update: 2025-05-25
Created with KNIME version: v5.2.1
Tags: peptideaminp-acidfunctionprediction

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