STEM Analysis Service

Figure 1. Demo result of STEM analysis service.

Overall solutions

• STEM is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer).
• Data from short time series gene expression experiments poses special challenges.
• In these experiments, thousands of genes are being profiled at the same time while the number of time points is few.
• In such cases, a lot of genes will have the same expression pattern just by random chance. Moreover, as with any time series experiment, there are usually few full time series repeats from which to gain statistical power.

Our STEM analysis service

Features

• STEM analysis uses a large number of genes and a small number of time points to identify statistically significant temporal expression profiles and genes related to these profiles.
• This method provides statistically accurate biological interpretation of important temporal expression patterns.
• The integration of STEM and GO is two-way. STEM can easily identify and visualize the behavior of genes belonging to a specific GO category, thereby determining which expression profiles are enriched by genes in that category.

CD ComputaBio provides corresponding STEM Analysis Servicehas proven to be very useful for understanding the biochemical basis of physiological events at different stages of drug development (even in different fields such as materials science). CD ComputaBio team has been working in this field for more than ten years and has published his findings in top scientific journals. If you have a need for network analysis services, please feel free to contact us.

We provide a variety of modeling services, but not limited to:

• Network Analysis Services in Biology
• PPI Network Service
• Gene Co-Expression Network Analysis

• Hierarchical Clustering Analysis Service
• K-means Clustering Service
• Heatmap Service
• SOM Service