Tegara Corporation (our company) provides products, services, and information that are useful to users involved in research and development on a daily basis, based on our corporate philosophy of "helping accelerate research and development."
This time, we will introduce a service that procures the latest products from all over the world on behalf of customers involved in research and development."UNIPOS-"From among the products you inquired about,"An efficient data analysis tool that can be used in a wide range of fields such as statistics, data analysis, pharmaceutical research, and life sciences.Will introduce
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Are you worried about the complexity of your data?
In today's rapidly evolving digital society, are you concerned about prediction accuracy or looking for efficient data analysis?
"PLA 3.0", which we will introduce here, is software that can efficiently perform statistical analysis of biological data. Quickly gain meaningful insights from large datasets, helping speed up your research process.
Logistic regression analysis is mainly applied to analyze a wide range of biological data from immunoassays and ELISA (Enzyme-Linked Immunosorbent Assay), etc., and to evaluate the relationship between that data and a specific outcome or phenomenon. I am.
For example, by inputting numerical data from biological assays obtained in experiments, you can perform a complete range of data analysis, including plotting dose-response curves and calculating EC50 and IC50, which are indicators of the relationship between substance concentration and pharmacological activity.
This is the key point of PLA 3.0!
- Gain rapid insights from complex data sets
- Improved prediction accuracy and decision-making quality
- Ensure data safety offline
Gain rapid insights from complex data sets!
Gain insights quickly from complex data sets. PLA 3.0 features advanced algorithms and efficient processing power. This allows you to quickly and accurately analyze large datasets and identify important patterns and trends. This rapid data analysis streamlines the process of developing skills in alternative animal testing methods, statistical processing, and data interpretation, helping to streamline critical decision-making.
Improved prediction accuracy and decision-making quality!
By utilizing PLA 3.0, data scientists in research and development can improve prediction accuracy and obtain new results. This software incorporates advanced machine learning algorithms and has the ability to extract patterns from complex data sets and predict future trends. Prediction results can lead to new insights, streamline R&D processes, and contribute to innovative discoveries.
For example, by analyzing past genomic data and disease data in combination, it is possible to discover new correlations between genetic mutations and disease risk that were previously unknown.
Ensure data safety offline!
PLA 3.0 is network independent and can handle sensitive data securely. This ensures data safety and reduces the risk of information leaks even in fields where confidentiality and privacy are highly important, such as in the fields of drug development and life sciences.
Additionally, offline data analysis is not affected by connection stability or speed issues, allowing for faster and more efficient analysis. PLA 3.0 is equipped with advanced security features that ensure data confidentiality by implementing measures such as data encryption and access control. Therefore, you can use PLA 3.0 with confidence even when handling highly confidential data.
The following is a start guide for running PLA 3.0 in an offline environment (pdf, manufacturer's website).
Getting Started Guide Version: 3.0.7 (July 14, 2023)
https://cdn.bioassay.de/PLA/Getting_started_with_PLA_3.0_offline.pdf
Examples of using PLA 3.0
- Contributes to improving skills in statistical processing and data interpretation by learning data analysis using actual datasets
- Gain valuable insights from experimental results when analyzing data from small-scale laboratory experiments
- Used for statistical processing and analysis of data for papers and academic papers
- Collect data as a method other than animal experiments and use it for interpretation in studies and classes on alternative animal experiment methods
- Obtain accurate analysis results even when processing biological assay data that requires complex analysis or advanced technology.
PLA 3.0 supports a variety of techniques for biostatistical analysis. Please refer to the manufacturer's website below.
Data analysis
https://www.bioassay.de/analytical-methods/experiments/pla-30-experiments
User example
It is aimed at data scientists and researchers involved in research and development in the pharmaceutical, biotechnology, and life science fields.
*This product is provided for research purposes only.
Tegara Corporation platform
Unipos has a track record of procuring specialized software to effectively advance research and development, including Stegmann Systems' PLA 3.0, as well as the latest hardware that has not yet been released in Japan. Additionally, we have the technical capabilities we have cultivated through custom PC production and good relationships with overseas vendors. In order to solve our customers' problems, we also put effort into supporting software and hardware.
We would like to continue to introduce items that will help you secure the time you need for research and development and proceed with your project effectively.
If you are interested in any products, please feel free to contact us.
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