To reverse engineer a Gene regulatory network what type of data can I use instead of microarray gene expression data because microarray data can be noisy.
For my undergraduate project I've been assigned to construct a gene regulatory network using Rice microarray gene expression data. I have found a suitable dataset and also I've read similar research on gene network inference. But when I asked around in forums people mentioned that gene network inference using microarray / RNA-seq data is not very good because they can be noisy.
So instead of using microarray data what should I use?
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haha, I wouldn't use proteomics data then, cos they can be NOISY!
Much like all of biology, all biological techniques are noisy. This doesn't, however, make them unusable.