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Broschüre SigmaPlot 11 mit ausführlicher Funktionsliste (PDF)

ROC-Kurvenanalyse-Modul Flyer (PDF)

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Produkte
   
SigmaPlot
Der Standard für technische Graphen
SigmaCERF
Kollaboratives elektronisches Lab-Notebook-System
SYSTAT
Mehr Statistik, mehr Graphen, weniger Aufwand
SigmaStat
Statistik-Software mit Berater
SigmaScan
Automatische Bildanalyse
TableCurve 2D
Automatische Kurvenanpassung
TableCurve 3D
Automatische Oberflächenanpassung
PeakFit
Automatische Peakseparation und -analyse

AutoSignal
Automatische Signalanalyse


SigmaPlot Module

Enzymkinetik-Modul
Automatische Analyse enzymkinetischer Daten

Elektrophysiologie-
Modul

Direktes Einlesen elektrophysiologischer Daten

Willkommen bei Systat Software GmbH!
   Wir sind führender Hersteller spezialisierter Softwareprogramme für Wissenschaftler und Ingenieure, die komplexe wissenschaftliche und technische Daten analysieren, graphisch darstellen und präsentieren wollen.
 
SigmaPlot
Reviews, Anwendungsartikel, Whitepapers (PDF)
 
 

Reviews

SigmaPlot 11 von Felix Grant in: Scientific Computing World, Juni 2008 (PDF)

SigmaPlot 11 - Jetzt auch mit Statistik von Beneke/ Schwippert in: PhysikJournal, November 2008 (PDF)

SigmaPlot 11: Now with Total SigmaStat von John A. Wass, PhD, in: Scientific Computing International, Jan/Feb. 2009 (PDF)

 

Anwendungs-Artikel:

User-defined transforms - useful feature of SigmaPlot von G.Pöch, PhD, und D. Dawson, PhD, April 2009 (PDF)

 

Whitepapers:

Exploratory Enzyme Inhibition Analysis
Enzyme inhibition data is analyzed with the Exploratory Enzyme Kinetics option in SigmaPlot. The direct linear plot, secondary plots and a numeric report are created to help determine if Michaelis-Menten kinetics are satisfied and to elicit the type of inhibition. This analysis provides excellent qualitative and quantitative information prior to fitting multiple candidate inhibition models using the Enzyme Kinetids module.

ROC Curves Analysis
Receiver operating characteristic (ROC) curves are used in medicine to determine a cutoff value for a clinical test. For example, the cutoff value of 4.0 ng/ml was determined for the prostate specific antigen (PSA) test for prostate cancer. A test value below 4.0 is considered to be normal and above 4.0 to be abnormal. Clearly there will be patients with PSA values below 4.0 that are abnormal (false negative) and those above 4.0 that are normal (false positive). The goal of an ROC curve analysis is to determine the cutoff value.

Standard Curves Analysis
A standard curve is used to calibrate an instrument or assay. The Standard Curves macro in SigmaPlot provides five equations that may fit to your data.

Using Global Curve Fitting to Determine Dose Response Parallelism
Dose response curves are parallel if they are only shifted right or left on the concentration (X) axis. So if you were to fit a 4 parameter logistic function to multiple dose response curves then, for curves which are parallel, only the EC50 parameters would be significantly different. If the data is normalized then the min, max and Hill slope parameters would not be significantly different.

   
   
Tel: +49 2104 9540 E-mail: Kontakt@systat.de