 |
 |
The DNA chip analysis process
can be largely divided into image processing, normalization,
and clustering. This service provides analysis using numerical
data generated from image processing. |
 |
Currently, a major methodology
involves compensating errors -- to which the multivariate
statistical technique applies -- in the chip experiment
using two fluorescent materials. Still, it remains within
the scope of numerical data analysis. Therefore, the experimenter
should apply methods that can be optimized according to
the type of experiment and depending on the DNA chip features. |
 |
Macrogen¡¯s analysis of data
on all commercial chips is based on proprietary function
information database extracted from the public domain,
using both the advanced statistical analysis method and
method optimized according to the client¡¯s requirements.
|
|
 |
 |
 |
Normalization
Box |
|
|
 |
Normalization
Data |
|
|
 |
Normalization
Histogram |
|
|
 |
Normalization
Histogram Density |
|
|
 |
Normalization
Pseudo Image |
|
|
 |
Normalization
Scatter Plot |
|
|
 |
Normalization
Report |
|
|
|
 |
Clustering
Hierarchycal |
|
|
 |
Clustering
K-Means |
|
|
 |
Clustering
Report |
|
|
 |
Clustering
Som |
|
|
 |
Classification |
|
|