Hi guys,
I am going to compare my new missing value imputation (MVI) method with exsiting MVI procedures. I have downloaded series matrix files of different microarray datasets (like GSE3944, GSE4398 and etc.) from GEO. I have worries about this type of data. These datasets have been pre-processed (background corrected, normalized, (summerized) and log2 transformed)? It means these are ready for imputation of MV? I can delete their missing values to have a complete matrix for comparing MVI methods?
Many thanks dear Poonam. I have another question. Authors use different dimensions of these data sets. Is there any rule for selection of some of arrays or genes? Or it is better to apply MVI methods on the whole data set(downloaded from GEO) as a real data?
hi. i also have the same question, can I use the value from the GEO data to compare the different expression of genes?
are they already been log2 transformed？ thanks
sorry for my delay..yes you can use them..these data are preprocessed.
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Techniques
- Meta-Analysis