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Data Preparation for DOE Analysis: A Step-by-Step Guide

This guide will walk you through the improved data preparation features for Design of Experiments (DOE) analysis.

Updated this week

Part 1 - DOE design, simulation, execution, and data upload.

Getting started

  • Open Synthace and navigate to the Tutorials page

  • Select Tutorial Data preparation for DOE analysis

    • Open the workflow “📊 Data Preparation Improvements”

    • Make an editable copy

Simulating and executing your workflow

  • Add your copied workflow to a new experiment

  • Toggle into DOE mode

  • Click “Design” and then “Upload Design”

  • Scroll down to review the Settings

  • Then, "Simulate with Design" to generate your simulation

⏱️ Please be patient, there are several runs in the design.

  • Review the simulation by clicking "View Simulation"

  • When ready, click "Start Execution"

  • Download instructions for your execution

  • Once executed, mark as complete with any relevant comments

Uploading and preparing your results

  • ⬇️ Scroll to bottom of this article and download the linked results file 🖇️ "Data prep tutorial_response.xlsx"

  • Navigate to the Results tab in your execution

  • Click "Add file" to add your results file, then from “Computer”

  • Select "Another Device" when prompted for parsing options

  • After uploading data to each DOE plate, click "Structure DOE data"

Part 2 - Preparing data, structuring, transforming and launching Response Analysis

Introduction

This section will walk you through the process of structuring and analyzing your Design of Experiments (DOE) data using Synthace's enhanced data preparation features. By following these steps, you'll be able to efficiently organize your data, perform calculations, and prepare it for comprehensive analysis.

DOE Prepare data interface

  • The DOE Prepare Data interface contains three main tabs: Reshape, Calculate, and Review

    ➡️ If your data is already properly structured, you can proceed directly to the Review tab

Step 1: Reshape your data

  • Here you'll find guidance about restructuring your data from a long to wide format table using the values from selected columns.

  • Select the columns you wish to use for reshaping your data:

    • Choose "Control Type" to pivot your data by control categories (e.g., Positive, Negative)

    • Select "Replicate" to further organize your data by replicate number

  • After selection, your data will be automatically pivoted showing response values organized by your selected parameters (e.g., "Control Type Negative Replicate 1-12" followed by "Control Type Positive Replicate 1-12")

Step 2: Calculate statistical parameters

  • Navigate to the Calculate tab

  • Review the introduction and instructions for this section

  • Choose from preset transformations:

  • Calculate the Mean of your Positive and Negative response:

    • Choose Mean from the transformation menu

    • Select Control Type Negative

    • Optional: Edit the column header

    • Click "Apply" to add the calculated column to your data table

    • Repeat with Control Type Positive

  • Calculate the Standard deviation of your Positive and Negative response:

    • Choose Standard deviation from the transformation menu

    • Select Control Type Negative

    • Optional: Edit the column header

    • Click "Apply" to add the calculated column to your data table

    • Repeat with Control Type Positive

Calculate the Z-factor:

  • Choose Z-factor from the transformation menu

  • Select your Control Type Negative (negative controls)

  • Select your Control Type Positive (positive controls)

💡 Note: this calculation automatically includes the mean and standard deviation calculations for both control types and adds them to your data table

  • Click "Apply" to add these calculated columns to your data table

  • Calculate the Signal to background ratios for Mean and Standard deviation:

    • Choose Column-based arithmetic from the transformation menu

    • Step 1: Add a name for the response e.g, “Mean Signal/Background”

    • Step 2: Choose Response from the drop-down

    • Step 3: Enter an equation to calculate the new column

      • Scroll down and click on “mean(Response - Control Type Positive)”

      • Do not alter the text within the { } braces

      • Add the operator for division (backslash) /

      • Scroll down and click on “mean(Response - Control Type Negative)”

  • Click “Evaluate equation” to generate the new column

  • Click "Apply" to add the calculated column to your data table

  • Repeat for Standard Deviation

  • Save your work as a draft by clicking the "Save Draft" button to preserve your progress

Step 3: Review your structured data

  • Move to the Review tab to see all columns that will be available for analysis

  • Review the data to ensure all necessary parameters are included

  • Optional: Download selected columns

Step 4: Launch Response Analysis

  • When you're satisfied with your data preparation, click the "Start Analysis" button

  • This will launch the Response Analysis app, where you can perform in-depth analysis of your DOE results

💡 Save drafts frequently to prevent losing your work

𝚺 Take advantage of the preset transformations to quickly calculate common statistical parameters

👀 Review the guidance provided in each tab if you're unsure about any step in the process

By following these steps, you'll be able to efficiently prepare your DOE data for comprehensive analysis, allowing you to identify significant effects and build predictive models to guide your next experiments!

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