CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.
Overview
In general, AI model testing is the last test before the application of AI model projects. The test data should not only be close to the data in the real situation from the quality, but also reach a certain order of magnitude in the quantity, so that the results of the test will be closer to the results in the real situation. That is to say, when the quantity of data reaches a certain order of magnitude, it also means that the more results will be tested, and the expectation of all the final test results will be closer to the real results. Because of this, AI model testing tends to generate huge amounts of data. In order to process these data efficiently and accurately, we undoubtedly need to choose the right data analytics method to handle them.
Fig. 1 Schematic of the common pipeline in scRNA-seq analysis. (Brendel M, et al., 2022)
Our Services
Our EnzymoGeniusTM platform is dedicated to the directed evolution and design of enzymes. Combined with our advantages in AI, we are able to provide our customers with AI data analysis of high-throughput enzyme mutant screening libraries.
Facing the large amount of data obtained during the high-throughput screening process, it is very important to choose a suitable and efficient data analysis method. Our EnzymoGeniusTM platform provides the following types of data analysis methods.
- Cluster Analysis
Cluster analysis refers to the analytical process of grouping a collection of objects into multiple classes consisting of similar objects. Clustering is the process of categorizing data into different classes or clusters such that objects in the same cluster have a great deal of similarity, while objects between different clusters have a great deal of dissimilarity.
- Factor Analysis
Factor analysis refers to a statistical technique that examines the extraction of common factors from groups of variables. Factor analysis searches for intrinsic connections from large amounts of data to decrease the difficulty for making decisions.
- Correlation Analysis
Correlation analysis is a kind of analytical method to study whether there is some kind of dependence between phenomena, and to explore the direction of correlation and the degree of correlation for specific phenomena with dependence.
- Correspondence Analysis
Correspondence analysis, also known as correlation analysis, reveals the links between variables by analyzing a summary table of interactions consisting of qualitative variables. Correspondence analysis can reveal the differences between categories of the same variable and the correspondence between categories of different variables.
- Regression Analysis
Regression analysis is a predictive analytical method that examines the relationship between dependent and independent variables. Regression analysis is commonly used in predictive analytics, time series modeling, and discovering causal relationships between variables.
- Analysis of Variance
Analysis of variance (ANOVA), also known as F-test, is a test of significance for the difference between the means of two or more samples. The basic idea of ANOVA is to determine the influence of controllable factors on the results of a study by analyzing the contribution of different sources of variation to the total variation.
What We Can Offer
- Diversified Data Analysis Methods: In order to meet the different needs of different studies for high-throughput data screening process, we can provide a variety of data analysis methods.
- High-quality Services: We can provide you with professional consulting services during the pre-project phase and strong and reliable support services after the sale.
With a professional scientific team, CD Biosynsis has been dedicated to providing researchers with enzyme directed evolution and design services. Combined with the advantages of Artificial Intelligence, we use AI to guide enzyme variant discovery and screen for ideal enzyme variants. If you are interested in the exclusive customization service for enzymes, please do not hesitate to contact us.
Reference
- Brendel, M.; et al. Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review. Genomics Proteomics Bioinformatics. 2022, 20(5):814-835.
