Gene Set Enrichment Analysis

Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states. Gene set enrichment analysis is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with disease phenotypes. The method uses statistical approaches to identify significantly enriched or depleted groups of genes. Transcriptomics technologies and proteomics results often identify thousands of genes which are used for the analysis.

Overall solutions

Gene set enrichment analysis

  • Calculate the enrichment score (ES)
  • ES represents the amount to which the genes in the set are over-represented at either the top or bottom of the list. This score is a Kolmogorov–Smirnov-like statistic.

  • Estimate the statistical significance of the ES
  • This calculation is done by a phenotypic-based permutation test in order to produce a null distribution for the ES. The P value is determined by comparison to the null distribution.

  • Calculating significance
  • Adjust for multiple hypothesis testing for when a large number of gene sets are being analyzed at one time. The enrichment scores for each set are normalized and a false discovery rate is calculated.

Our advantages

  • Solving problems with professional knowledge and creativity.
  • Responsive project management.
  • Independent route design for molecular biology services and timely execution.
  • Complex biological data interpretation.
  • Analyze based on the specific characteristics of your target and the related requirement.

Applications

  • Gene set enrichment methods have led to the discovery of new suspicious genes and biological pathways related to spontaneous preterm birth.
  • Gene set enrichment analysis can be used to understand the changes that cells undergo during canceration and metastasis.
  • GSEA can be used to help understand the molecular mechanisms of complex diseases.
  • GSEA can help provide molecular evidence of the relationship between the biological pathways of depression and the disease.

Our services

Project name Gene set enrichment analysis
Our service process

CD ComputaBio offers gene set enrichment analysis to meet the specific needs of different customers. Our gene set enrichment analysis service can be widely used in understanding the molecular mechanisms of complex diseases and finding relationship between body and diseases.

Screening cycle Decide according to your needs.
Service including We provide you with raw data and analysis service.
Price Inquiry

CD ComputaBio' gene set enrichment analysis can significantly increase the hit rate of lead compounds and reduce the cost of later experimental screening. Gene set enrichment analysis 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.

Inquiry

  • Verification code
logo

CONTACT US

© 2021 CD ComputaBio. All rights reserved.