Microarray data correlation plot between highly expressed genes

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4.5 years ago

asmitabioinfo2203 ▴ 20

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 • 832 views

ADD COMMENT • link 4.5 years ago by asmitabioinfo2203 ▴ 20

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

ADD REPLY • link 4.5 years ago by ATpoint 85k

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

ADD REPLY • link 4.5 years ago by asmitabioinfo2203 ▴ 20

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