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Hello, |
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Replies: 4 comments 1 reply
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Hi, added a section about normalisation in FAQ: https://github.com/vdemichev/DiaNN/blob/master/README.md#frequently-asked-questions |
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thanks, so I understand the global normalization is done using sum of intensities of all identified peptides in sample? |
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Thanks! I have read the paper and I wonder if the value of "p" (in pN precursor fraction used for normalization) could be adjusted for different scenarios. In one case, I got results with severely different median and quantiles after normalization. |
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Yes, with --norm-fraction [p], e.g. --norm-fraction 0.3. But it's known that 0.4 works well, cannot guarantee performance if this value is changed. If the end result is not good, you can also easily correct it in R/Python, e.g. on the protein level. |
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Yes, with --norm-fraction [p], e.g. --norm-fraction 0.3. But it's known that 0.4 works well, cannot guarantee performance if this value is changed. If the end result is not good, you can also easily correct it in R/Python, e.g. on the protein level.