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spectraCounteBayes Warning messages #14
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@yudada2020 Hi, please check the input expression matrix if there are proteins with missing values. Yafeng |
Hello, Dr yafeng, I have used the code "df.LFQ.filter = df.LFQ[df.LFQ$na_count_H<2 & df.LFQ$na_count_L<2,1:34]" as per your suggestion to perform missing value removal for the protein expression matrix but the same error is reported. Interesting to be able to output seemingly normal results. Attached is my input protein expression matrix. Thanks, |
Hi Yafeng, it is such a wonderful script, thanks for sharing with us. I did encounter a problem when I run fit4 = spectraCounteBayes(fit3) The error came out as Do you have any ides? Thank you very much in advance! |
@yudada2020 Hi, i checked your input data frame, you should use if you still encounter error, check the peptide count table, it should contains peptide count per protein. Yafeng |
@longchung90 Yafeng |
1 similar comment
@longchung90 Yafeng |
Hi Yafeng,
Sorry I am not very experienced, I just started doing some bioinformatics. Thank you |
That’s the reason.
fit3$count should be the PSM or peptide count for the protein.
Inf or NA or negative number is not allowed.
You need to check your input and command where the Inf value come from.
Yafeng
在 2024年8月7日,12:06,Long Chung ***@***.***> 写道:
Hi Yafeng,
I've run the script it got back to me this:
min(fit3$count)
[1] Inf
Warning message:
In min(fit3$count) : no non-missing arguments to min; returning Inf
Sorry I am not very experienced, I just started doing some bioinformatics. Thank you
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Hello, I have tried to analyse my label-free data by referring to the tutorial "DEqMS analysis using MaxQuant outputs (label-free data)", but when I run the code fit4 = spectraCounteBayes(fit3), R pops up a warning message. How can I fix it?
Thanks,
Nai xiang Yu
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