Skip to content
MathWorks - Mobile View
  • MathWorks アカウントへのサインインMathWorks アカウントへのサインイン
  • Access your MathWorks Account
    • マイ アカウント
    • コミュニティのプロファイル
    • ライセンスを関連付ける
    • サインアウト
  • 製品
  • ソリューション
  • アカデミア
  • サポート
  • コミュニティ
  • イベント
  • MATLAB を入手する
MathWorks
  • 製品
  • ソリューション
  • アカデミア
  • サポート
  • コミュニティ
  • イベント
  • MATLAB を入手する
  • MathWorks アカウントへのサインインMathWorks アカウントへのサインイン
  • Access your MathWorks Account
    • マイ アカウント
    • コミュニティのプロファイル
    • ライセンスを関連付ける
    • サインアウト

ビデオ・Webセミナー

  • MathWorks
  • ビデオ
  • ビデオ ホーム
  • 検索
  • ビデオ ホーム
  • 検索
  • 営業へのお問い合わせ
  • 評価版
4:58 Video length is 4:58.
  • Description
  • Full Transcript
  • Related Resources

SimBiology Tutorials: Importing Data and Noncompartmental Analysis

From the series: SimBiology Tutorials for QSP, PBPK, and PK/PD Modeling and Analysis

Importing Data and Noncompartmental Analysis video: This video demonstrates how to import data into SimBiology from spreadsheets, how to calculate derived data from the columns in the dataset and visualize the data. The dataset is also used to perform noncompartmental analysis, and the results of this analysis are then exported to a spreadsheet.

In this video, we will be showing how to import experimental data into SimBiology and how to perform non-compartmental analysis on that data.

First thing we need to do is import data, and SimBiology allows you to import data directly from file, such as spreadsheets that are comma separated or Excel sheets. In this case, we will be using theophylline, and we're going to import that as a CSV file. In that case, the column separator is a comma. And, once you fill in that it is a comma, you can see that SimBiology automatically populates the columns and also populates the column headers from the first row.

If we click OK, the data is imported into SimBiology. You can rename the data. Here you can see the data. We have, in this case, 12 groups. And, for each group, we have a time column, and a concentration column, and a dose column, as well as a weight column. So the weight is here, a covariant.

In this case, the data is normalized by body weight. And, you can undo that normalization by adding a column to your data set. I first need to fill in the actual expression to calculate the concentration, in the column named DV, and then dot times WT. And, dot times means that the DV value for each element is element bias multiplied by the weight.

So, we can give this a name. We can call it concentration. And, we can add another column for the dose, because the dose is also normalized. So, here we can do the same. We can say dose, dot times weight, and call this dose total.

Below the column name, you can actually see a row that says classification. And so, we can classify each of these columns as to what they represent in the data. The concentration is a dependent variable. The dose is a dose column. And then, we can set the weight to be a covariant.

You can also add units for the concentration, for example, in milligram per liter, the dose in milligram, and the covariant in kilograms. The time is an hours. And, that completes the entire setup of our data set.

We can also have a look at the data itself. In that case, you can create a new plot and simply drag the data out onto the plot. And then, you can see that this is an oral dosing, followed by the clearance. We can plot that in a semilog y to have a bit of a better idea. And then, you can see this probably looks like a one compartment model.

So, we now have the data all set up. If we want to do non-compartment analysis, the only thing we need to do is add a program called non-compartmental analysis.

This program takes in a data set. In this case, there's only one data set in your in the project, but there may be more in your case. And then, you need to say which columns in your data sets you want to use for which classification in the model. Now, because you already did the classification in the data set earlier, this is automatically done. The only thing you will need to change, in this case, is the dosing is not IV Bolus, but instead, it is extravascular, so you need to move the dose column to extravascular.

The other thing we can do, is we can set time ranges. So, for example, if I want to calculate partial, I use c between zero and 12. I can do that like this. And, I can also define a lower limit of quantization.

So, with all of this setup I can run the program. And then, you can see the results here. There under program one, last run. And, the only thing I need to do is I generate a new data sheet and pull the results onto here. And here, for every error of the 12 subjects, you see the results from the non-compartmental analysis. So, you see an AUC, C-max, and then all the way at the end, you also get your partial AUCs.

If you want to, you can export this to a workspace, or the other thing you can do, is this data sheet number two, you can export that to Excel.

And, that completes this video on importing data into SimBiology and performing non-compartmental analysis.

Related Products

  • SimBiology
  • Global Optimization Toolbox
  • Optimization Toolbox
  • Statistics and Machine Learning Toolbox

Bridging Wireless Communications Design and Testing with MATLAB

Read white paper

Feedback

Featured Product

SimBiology

  • Request Trial
  • Get Pricing

Up Next:

Estimating Parameters (Fixed Effects) video: Perform fixed effects parameter estimation, visualize fit results and compare multiple fits
10:03
SimBiology Tutorials: Estimating Parameters (Fixed Effects)
View full series (10 Videos)

Related Videos:

25:49
Modeling Biology with SimBiology: An Introduction for iGEM...
52:52
Population Pharmacokinetic Modeling Using Nonlinear...
8:25
SimBiology Tutorials: Building a Model – Differential...
36:13
Application of SimBiology to PK/PD, Systems Pharmacology &...
8:54
Modeling the Pharmacokinetic Effect of Phenobarbital on...

View more related videos

MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • Switzerland (English)
  • Switzerland (Deutsch)
  • Switzerland (Français)
  • 中国 (简体中文)
  • 中国 (English)

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • 営業へのお問い合わせ
  • 評価版

MathWorks

Accelerating the pace of engineering and science

MathWorksはエンジニアや研究者向け数値解析ソフトウェアのリーディングカンパニーです。

ディスカバー…

製品を見る

  • MATLAB
  • Simulink
  • 学生向けソフトウェア
  • ハードウェア サポート
  • File Exchange

製品評価版の入手または製品の購入

  • ダウンロード
  • 評価版ソフトウェア
  • 営業へのお問い合わせ
  • 価格とライセンス
  • MathWorksストア

使い方を学ぶ

  • ドキュメンテーション
  • チュートリアル
  • 例
  • ビデオ・Webセミナー
  • トレーニング

サポートを受ける

  • インストールのヘルプ
  • MATLAB Answers
  • 技術コンサルティング
  • ライセンスセンター
  • サポートへのお問い合わせ

MathWorks について

  • 採用情報
  • ニュースルーム
  • 社会貢献
  • ユーザー事例
  • MathWorks について
  • Select a Web Site United States
  • トラストセンター
  • 商標
  • プライバシー ポリシー
  • 違法コピー防止
  • アプリケーション ステータス

© 1994-2022 The MathWorks, Inc.

  • Facebook
  • Twitter
  • Instagram
  • YouTube
  • LinkedIn
  • RSS

MATLAB を語ろう