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Testing example failed? #57
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Hi @malonzm1, Sorry for the inconvenience, I want to verify a few things: [1] Particularly, you ran into issue when testing the B-cell pipeline, the other parts are ok and ran smoothly on your end? Thank you, |
Hi @frankligy, Thanks. The following is the output before the error:
The result/surface folder was modified:
but not the direct contents of result folder. Yes, I installed TMHMM. Thanks. |
Hi @malonzm1, I will check it myself and get back to you in one day. Best, |
Hi @malonzm1, Sorry for the wait, from what I can see here, actually everything looks good. In your No need to worry about that Best, |
Thanks @frankligy, I did that and got a different error:
On the other hand, I've tried running the pipeline in the tutorial on my data and everything seemed to work fine. |
Sorry, right it was another typo, instead of Frank |
Thanks! Another question, if I want to analyze data from different diseases, is it ok to analyze everything with SNAF, or does it make more sense to analyze per disease? |
Hi @malonzm1, Just want to make sure I understand the question correctly, were you referring to the situation where, for instance, you have multiple cancers, and you want to know whether you can combine all cancers data together as a whole or you should do that one by one? Since the program will report sample-level results anyway, so I think it won't hurt that much when it comes to combine or not. But some of the results automatically generated indeed summarize cohort-level statistics, in that sense, maybe analyzing per disease will make more sense and later to coalesce. Best, |
Thanks. We were actually thinking of analyzing autoimmine diseases rather than cancer. What do you think?
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From: Guangyuan(Frank) Li ***@***.***>
Sent: Saturday, February 15, 2025 2:02:45 AM
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Cc: Malonzo Maia ***@***.***>; Mention ***@***.***>
Subject: Re: [frankligy/SNAF] Testing example failed? (Issue #57)
Hi @malonzm1<https://github.com/malonzm1>,
Just want to make sure I understand the question correctly, were you referring to the situation where, for instance, you have multiple cancers, and you want to know whether you can combine all cancers data together as a whole or you should do that one by one?
Since the program will report sample-level results anyway, so I think it won't hurt that much when it comes to combine or not. But some of the results automatically generated indeed summarize cohort-level statistics, in that sense, maybe analyzing per disease will make more sense and later to coalesce.
Best,
Frank
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[frankligy]frankligy left a comment (frankligy/SNAF#57)<#57 (comment)>
Hi @malonzm1<https://github.com/malonzm1>,
Just want to make sure I understand the question correctly, were you referring to the situation where, for instance, you have multiple cancers, and you want to know whether you can combine all cancers data together as a whole or you should do that one by one?
Since the program will report sample-level results anyway, so I think it won't hurt that much when it comes to combine or not. But some of the results automatically generated indeed summarize cohort-level statistics, in that sense, maybe analyzing per disease will make more sense and later to coalesce.
Best,
Frank
—
Reply to this email directly, view it on GitHub<#57 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AHXYMJPLUPRQ42LJZPTK6CD2PYVULAVCNFSM6AAAAABWZOH2WGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMNJZHE2TINZZGI>.
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|
Yeah the concept should be the same, in autoimmune disease, the goal should be to eliminate auto-reactive B or T cells, similar to how people find blood cancer targets. I also applied SNAF on senescence as well, the only difference is probably to be cautious about the normal tissue expression, for instance, CD19 and BCMA will be highly expressed in blood, which should be fine in autoimmune disease. Other than that, I think from a characterization perspective, it makes no difference no matter which context people will be using the tools. |
When I run the test analysis.py, I get the following error:
Please advise. The installation of SNAF via pip didn't encounter any problems.
Thanks and good day.
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