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Microarray data correlation plot between highly expressed genes

hello all, I have microarray data intensity count matrix generated by Transcriptome Analysis Console (TAC) 4.0 and want to generate correlation between more significant expressed genes, so anyone have idea how can i start with this matrix file to find differential expressed genes and generate a plot as correlation between genes. In this matrix , rows are as gene names and columns are as samples. please suggest me how can i do this.

r rna-seq chip-seq python

Differential analysis of microarrays is typically done with the limma package in R. Correlations can be calculated with cor.

Thank you for your reply, I found correlation between samples but still looking for correlation plot between genes. Is there any method for this.

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