pcaExploreraccepts only text files, either comma, semicolon, or tab-separated. This avoids proprietary formats such as Excel, which can also inadvertently convert your gene identifiers to dates or floating point numbers (SEPT2, see more here)
dstobjects and checking their validity: for example, the column names of the count matrix have to be identical to the row names of the sample metadata. This small constraint guarantees a higher degree of robustness for all the subsequent steps
pcaExplorerdirectly from the terminal/RStudio IDE, you can pre-compute the objects, this can speed up
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