Cluster Analysis of Differentially Expressed Proteins

The goal of comparative proteomics is to systematically compare the changes in the proteome between biological samples due to diseases, artificial processing or the influence of external environmental factors. This kind of research is an effective way for us to understand the dynamic changes of the proteome from a macro perspective. It is widely used in the research of finding disease-specific protein markers and drug targets. Protein difference analysis can greatly promote the discovery of new biomarkers and improve the accuracy of biomarker identification, which is of great value for clinical disease analysis. CD ComputaBio can provide more accurate protein difference analysis based on statistical data to find significant differences in protein level performance under different physiological conditions and in different tissues.

Overall solutions

In order to test the rationality and accuracy of the selected differentially expressed proteins or characteristic differentially expressed proteins, clustering analysis can be used to aggregate the proteins according to the trend of expression amount, which can realize more intuitive proteomics data analysis.

  • Hierarchical cluster analysis

CD ComputaBio performs hierarchical cluster analysis on selected differentially expressed proteins, and clusters the proteins with the same or similar expression patterns.

  • K-means cluster analysis

In order to study protein expression patterns under different experimental treatments, K-means cluster analysis was performed on the expression levels of samples. The same type of protein has similar changing trends under different experimental treatments, and proteins with similar changing trends often have similar functions.

Our advantages

  • CD ComputaBio have a mature technology platform, many years of cellular experience and a first-class technical team of experts.
  • Professional after-sales service: A professional after-sales team is set up to provide customers with practical and feasible solutions efficiently and quickly.
  • CD ComputaBio has established a professional after-sales service team to provide customers with efficient, fast and practical solutions.

Our services

Project name Cluster analysis of differentially expressed proteins
Our services
  • Hierarchical cluster analysis
  • K-means cluster analysis
Sample requirements Our cluster analysis of differentially expressed proteins requires you to provide specific requirements.
Screening cycle Decide according to your needs.
Service including We provide you with raw data and analysis service.
Price Inquiry

CD ComputaBio' cluster analysis of differentially expressed proteins can significantly increase the hit rate of lead compounds and reduce the cost of later experimental screening. Cluster analysis of differentially expressed proteins is a personalized and customized innovative scientific research service. Each project needs to be evaluated before the corresponding analysis plan and price can be determined. If you want to know more about service prices or technical details, please feel free to contact us.

* It should be noted that our service is only used for research, not for clinical use.

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