I am contacting you regarding some problems when applying mixOmics in a set of 4 different sequencing data experiments I generated in four samples (two replicates from same cell type). I sumarize teh structure of my data below:
lapply(data, dim) $meRIP_seq 4 20544$cheRNA_seq 4 20544$RNAPII_GB_seq 4 20544$RNAPII_PR_seq 4 20544
Y WU WU TU TULevels: TU WU
Do you know if I can apply the N-approach regarding the small number of samples I have? I have tried some approaches but no clear results were obtained. For instance, when doing pairwise sPLS between 2 variables I get almost perfect correlations (0.999) and the correlation circle plots from these analyses show the genes just located on the axis coordinates. Also, when performing block sPLS, the arrow plots do not show any distance between datasets (no arrows).
I would be very grateful if you could give me some advice or suggestion about how to deal with my data and the interpretation of the results.
Many thanks in advance.