It would be really cool if there's a way to extract the normalized data from Metaboshiny (there is a metaboshiny report .csv in the saves folder, but that contains the raw peak data i think) for all individual animals. This could help with downstream correlation analyses with other datasets (e.g. transcriptomes or microbiota that also contain individual animal data).
Next to that, when performing a t-test or other comparisons, rather than only having the option to download the differentially expressed m/z values with their corresponding LogFC/pvalue/FDR it would be nice to include group means and/or sample values for each m/z.
Dear Joanna,
It would be really cool if there's a way to extract the normalized data from Metaboshiny (there is a metaboshiny report .csv in the saves folder, but that contains the raw peak data i think) for all individual animals. This could help with downstream correlation analyses with other datasets (e.g. transcriptomes or microbiota that also contain individual animal data). Next to that, when performing a t-test or other comparisons, rather than only having the option to download the differentially expressed m/z values with their corresponding LogFC/pvalue/FDR it would be nice to include group means and/or sample values for each m/z.
Thank you for your hard work! Bart