Gene chip technology, also known as nucleic acid array chip technology, was produced in the 1990s and has been scaled up and industrialized in the past ten years. It has become an important supporting technology for the transcriptome. Gene chip technology can measure the transcription and expression of thousands of genes under a certain condition. Therefore, a larger amount of data and data analysis requirements will be generated. The basic process of chip data analysis: image processing of the high-density hybridization spot array of the chip. Extract the fluorescence intensity of the hybridization points for quantitative analysis. Through effective gene search and clustering of related gene expression profiles, extract genes with significant differences in expression and co-expressed genes;
pd=gprread('mouse_h3pd.gpr')
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maimage(pd,'F635 Median','title',{ 'Parkinson''s Model','Foregroud Median Pixels (Red Channe up)'})
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maimage(pd,'F532 meDiAN','title',{'Parkinson''s Model','Foreground Median Pixels(Green Channel )'})
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pd =
A struct with the following fields:
Header: [1×1 struct]
Data: [9504×38 double]
Blocks: [9504×1 double]
Columns: [9504×1 double]
Rows: [9504×1 double]
Names: {9504×1 cell}
IDs: {9504×1 cell}
ColumnNames: {38×1 cell}
Indices: [132×72 double]
Shape: [1×1 struct]
Analysis and Practice of Bioinformatics------MATLAB Bioinformatics Toolbox Application----Edited by Liu Wei, Sun Zhiqiang, Yang Sen----【M】Beijing: China Industry and Information Technology Press and Electronic Industry Press