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What is SAS/STAT?

SAS/STAT provides highly accurate methods specifically designed for small datasets, along with robust statistical modeling features that cater to extensive data collections and innovative approaches to address missing data issues. The software is consistently updated, enabling users to tap into the newest developments in the rapidly changing field of statistics. With a history of over four decades in producing state-of-the-art statistical analysis tools, SAS has established itself as a trusted name known for delivering exceptional and reliable results. Each software version undergoes thorough quality assurance and testing to ensure it adheres to stringent standards. Users can be confident that the code produced by SAS/STAT aligns with both corporate and regulatory requirements, guaranteeing dependability in their analyses. Moreover, SAS/STAT offers a diverse selection of customizable charts and graphs, enhancing the clarity of statistical results and ensuring they are user-friendly and easy to interpret. This rich combination of features solidifies SAS/STAT's position as an essential tool for statisticians and data analysts, making it a preferred choice for those aiming to derive meaningful insights from data. Additionally, its user-friendly interface and comprehensive documentation further empower users to maximize their analytical potential.

What is NovoExpress?

NovoExpress software presents an intuitive platform tailored for researchers of all skill levels in flow cytometry, enabling efficient sample acquisition and analysis processes. By automating a variety of fluidic tasks, it alleviates the burden of monotonous and time-consuming activities from the workflow. The system greatly minimizes the necessity for user engagement, featuring a walk-away autosampler that allows for uninterrupted operation, in addition to functionalities for batch analysis, statistical calculations, and comprehensive reporting. This software merges sample acquisition with data analysis within a unified interface, significantly improving the overall user experience. Furthermore, it enhances productivity by allowing users to evaluate data concurrently with sample collection, as ongoing acquisition takes place in the background. The sophisticated compensation tools coupled with easy-to-make adjustments guarantee accurate compensation both prior to and following sample acquisition. The batch analysis and reporting capabilities also offer customizable statistical metrics, alongside real-time updates that keep users informed as their samples undergo processing. Ultimately, NovoExpress equips researchers with the tools needed to enhance their efficiency and effectiveness in flow cytometry endeavors, making it an invaluable asset in the laboratory setting.

Media

Media

Integrations Supported

DDN WOS
TiMi

Integrations Supported

DDN WOS
TiMi

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en/software/stat.html

Company Facts

Organization Name

Agilent Technologies

Company Location

United States

Company Website

www.agilent.com/en/product/research-flow-cytometry/flow-cytometry-software/novocyte-novoexpress-software-1320805

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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