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_tm7STjGs
>
> and 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