Identification of Gene Expression Patterns
Gene expression characterization information is important in gaining a better understanding of how multiple genes react in different conditions or over time. This ultimately can provide better insights into the controlling functionality of different genes in certain situations. The multiple statistical analysis tools and visualization options provided in ArrayStar allow researchers to quickly and easily identify expression patterns of interest and focus on the relevance to a specific research project. Generating gene expression pattern information is easily achieved with ArrayStar, as shown below.
Workflow
Video
The ArrayStar video provides additional information on the creation of projects and data analysis using ArrayStar.
Additional Details
For more information on how DNASTAR software can be used to help with your microarray gene expression and RNA-Seq related applications, see ArrayStar or the technical pages on k-Means clustering.