Open Dmorgen opened 4 years ago
it doesn't remove outlier files; maybe there were no PSMs observed below 1% FDR for those two runs? can you check on that? If this is the case I can report an error message if this happens (but still continue with the analysis, if desired)
There is definitely data there and the spectrum is quite rich. The only thing, I’m using the MBR function here – no ID’s specifically from these files.
D.
From: Robert Millikin notifications@github.com Sent: Tuesday, March 31, 2020 8:35 PM To: smith-chem-wisc/FlashLFQ FlashLFQ@noreply.github.com Cc: David Morgenstern david.morgenstern@weizmann.ac.il; Author author@noreply.github.com Subject: Re: [smith-chem-wisc/FlashLFQ] software threw 2 samples from quant (#89)
it doesn't remove outlier files; maybe there were no PSMs observed below 1% FDR for those two runs? can you check on that? If this is the case I can report an error message if this happens (but still continue with the analysis, if desired)
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHubhttps://github.com/smith-chem-wisc/FlashLFQ/issues/89#issuecomment-606769827, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIQ5VINROIM2JNQF6R6D5LDRKISUBANCNFSM4LXZDTWA.
MBR currently uses identifications in common between two files to create the relative retention time gradient. if a file has no IDs, nothing in the file can be quantified currently. that will probably change at some point, through "blind" feature finding so you can do this kind of thing. it's not currently supported, though
I'm running a 90 sample analysis, but the output contains only 88 columns. does the software throw outliers?
D.