Dear Bioconductor Community,
i recently acquired a excel file of PET data regarding some variable measurements on colon cancer patients(i.e., SUV, k1, k2) with totally 7 different variables. As i have also performed a microarray data analysis on the same patients to find DE genes between colon cancer and normal samples, i would like to ask if anyone can propose a possible data integration of these molecular and imaging data, in order to extract possible interesting biomarkers or also other aplications. As i have not experience in such methodologies, is there a pipeline for interpretation in r/bioconductor and/or some tutorials ? I searched the literature but i have noticed a very few examples or methodologies regarding molecular and imaging data.
Dear Wolfgang,
thank you for your notifications and considerations on this matter. Thus, as i have not prior experience in classification or regression analysis, should i search for the above methods you proposed and use the above PET metrics as "phenotypic features-variables" in order to extract possible correlation with expression data ?