On 21/08/2021 6:55 p.m., Anas Jamshed wrote:
I have this data: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162562&fbclid=IwAR0iZQhttG8HzGhFIIMWbFgNszQrVDgiyVChYzQ_ypCx_d-1pn_tm7STjGsand I want to compare: healthy vs Mild healthy vs Highly exposed seronegative (ishgl) Healthy vs Asymptomatic covid19 patient healthy vs Highly exposed seronegative (non ishgl) from this data. I started like : gset <- getGEO("GSE162562", GSEMatrix =TRUE, getGPL=FALSE) gset sampleinfo = pData(gset[[1]])[, 1:3] print(sampleinfo) but i need help to proceed futher
I think you're asking in the wrong place. You need statistical help, not R help. Once you know what you want to do, ask here about how to do it; in the meantime, look for statistical help. Some people suggest stats.stackexchange.com for that; I haven't read it enough to know if it is useful or not. In many cases, talking to a local expert is the best solution.
Duncan Murdoch ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
