I am working on pathway analysis using GAGE and Pathview. I can determine up-regulated and down-regulated pathways and get corresponding heatmaps, but I have a question on the "type" of counts I should be using. When I did differential gene expression analysis I generated a DGElist that has pseudo.counts which if I understand correctly are transformed and normalized. I also have a Counts Per Million list that was generated after quality filtering of raw counts. I get similar differentially regulated pathways while using either counts but I do not know which one is more appropriate to use. If anyone can help me I would very much appreciate the help. Thanks!
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by SEQadmin2
Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
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Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
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