I have got FPKM and some genes have really low FPKM and I am going to do stat analysis for all the genes; my question is the analysis should be like microArray analysis and need some cut-off numbers? any suggestion for this?
-
-
You could implement an approach like the one described in this paper: http://www.ploscompbiol.org/article/...l.pcbi.1000598 in order to estimate the background RPKM/FPKM and arrive at a cutoff. It's based on looking at false positive and false negative rates based on a set of known genes and a set of control regions for which there is no evidence that they are being expressed.
-
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?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...10-14-2026, 09:55 AM
Comment