RNA-seq VST Scaled Values

VST scaled counts derived from frontal RNA-seq dataset of the RiMod-FTD data resource (https://www.rimod-ftd.org/).

The data was processed in the following way:

Raw FastQ files were processed using the RNA-seq pipeline from  nf-core (nf-core/rnaseq v1.3), with trimming enabled. Gene  quantification was subsequently done using Salmon (v0.14.1) on the  trimmed FastQ files. Alignment and mapping were performed against the  human genome hg38. On average, 82,165,192 reads could be uniquely  mapped, which relates to on average 88.6% uniquely mapped reads per  sample. In total, 59,270 transcripts could be identified. DESeq2  (v.1.26.0) was used to perform differential expression analysis. We  corrected for the covariates gender and PH-value. For visualization and  clustering, the data was transformed using the variance stabilization  transformation from the DESeq2 package.