bzhanglab / AutoRT

AutoRT: Peptide retention time prediction using deep learning
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How to obtain the dataset used for AutoRT training and evaluation #24

Open lyrmagicaloutlook opened 2 months ago

lyrmagicaloutlook commented 2 months ago

Could you share the dataset used in your research? I have found PXD006109 (136,791 peptides) in your example/data folder, but I cannot locate SAL00031 (159,345 peptides) and SAL00141 (124,710 peptides). It is difficult for me to obtain the same dataset from the raw data.

Could you also clarify whether the retention time in the example/data/PXD006109.tsv file is measured in minutes or seconds?

Thank you very much!!!

wenbostar commented 2 months ago

Could you also clarify whether the retention time in the example/data/PXD006109.tsv file is measured in minutes or seconds?

It is in minute.

Could you share the dataset used in your research? I have found PXD006109 (136,791 peptides) in your example/data folder, but I cannot locate SAL00031 (159,345 peptides) and SAL00141 (124,710 peptides). It is difficult for me to obtain the same dataset from the raw data.

I can send you the data by email.

lyrmagicaloutlook commented 1 month ago

Sorry for replying so late. My email address is lyrmagical@outlook.com. Thank you very much!!!

lyrmagicaloutlook commented 1 week ago

Could you also clarify whether the retention time in the example/data/PXD006109.tsv file is measured in minutes or seconds?

It is in minute.

Could you share the dataset used in your research? I have found PXD006109 (136,791 peptides) in your example/data folder, but I cannot locate SAL00031 (159,345 peptides) and SAL00141 (124,710 peptides). It is difficult for me to obtain the same dataset from the raw data.

I can send you the data by email.

@wenbostar Sorry for bothering you again, but I have not yet received the dataset. Could you please send the data at your earliest convenience?

wenbostar commented 1 week ago

Hi @lyrmagicaloutlook , I have sent you the data through google drive.