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It's difficult to tell from your screenshot what might be wrong as the simple text editor included with MacOS doesn't show
any of the special formatting characters. I converted the original Excel file you sent and was able to load it into GSEA without errors, assuming you sent the complete file before, you should be able to use it as-is, but I would also recommend taking a close
look at it seeing if you can determine how my file differs from yours.
Likewise I've prepared a CLS file that should work with your dataset.
I do have a technical question, I noticed a large number of negative values, this isn't typically expected with RNA expression data so is this expected for your dataset? By default GSEA computes a signal-to-noise ratio which might end up seeing a positive differential change between two groups of samples with negative means. If that isn't a desirable outcome for your data, I might suggest computing a differential expression between your phenotypes outside of GSEA using a data type appropriate method and then instead using GSEA Preranked.
Otherwise, let me know if you have any other issues with running GSEA.
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Hi Helena,
I downloaded the xlsm file you'd attached to your message, opened it in Excel, File > Save As, changed the File Format dialogue to "Tab delimited Text (.txt)". I then saved the file to my working directory. This intermediate file is attached as "Copy_of_DESeq2_normalised_minus_0_value.txt". I then duplicated the text file, opened the "Get Info" menu, and changed the .txt to .gct, that file is attached as "Copy_of_DESeq2_normalised_minus_0_value copy.gct". I made no other adjustments to the files.
As to the negative values, I wonder if they perhaps mean centered, or z-score normalized the data, that wouldn't generally be desired for GSEA. If you are able to get the raw counts (they should typically be integer values) from your bioinformatician in a tab delimited text matrix format, and are able to create a GCT from that, we have a module on GenePattern.org (a free cloud based bioinformatics platform that another arm of our lab runs) that will run DESeq2 (again, on the raw counts) and then output a ".normalized.counts.gct" that should work with GSEA and should meet the expectation of generally non-negative normalized counts.
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