As biology enters the post-genomics era, non-sequence biological data such as gene chip data almost expand exponentially. These biological data are often high-dimensional, heterogeneous, and networked, so the traditional analysis methods are not competent. CD Mitochondria has developed excellent algorithms to analyze these massive biological data and established unique decision support technologies such as data mining and we provide a full range of advanced analysis services.
Single gene level: to compare the difference in the expression of each gene between the control group and the experimental group.
Multi-gene level: cluster analysis according to the common function, interaction, co-expression of genes, etc.
System-level: interpreting and understanding life phenomena in the form of genetic networks.
The object is represented by combining the original dimension to get less dimension, and the multivariable data matrix is optimized for comprehensive simplification.
A group of genes with significant changes with time or concentration are selected from the chip data, and the corresponding statistical test values are given to screening the significant gene population.
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