misc_dia_processed
<div> <div> <div>Reference:</div> <div> </div> </div> </div> <div> <div> <div>Rosenberger, G.; Koh, C. C.; Guo, T.; Röst, H. L.; Kouvonen, P.; Collins, B. C.; Heusel, M.; Liu, Y.; Caron, E.; Vichalkovski, A., et al.</div> <div>A Repository of Assays to Quantify 10,000 Human Proteins by SWATH-MS.* Sci. Data 2014, 1, 140031, DOI: [10.1038/sdata.2014.31](https://doi.org/10.1038/sdata.2014.31)</div> </div> </div> <div> </div> <div> <div> <div>All datasets were implemented and curated from:</div> <div> </div> </div> </div> <div> <div> <div>Ma, C.; Ren, Y.; Yang, J.; Ren, Z.; Yang, H.; Liu, S.</div> <div>Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning. Anal. Chem. 2018, 90 (18), 10881–10888. DOI: [10.1021/acs.analchem.8b02386](https://doi.org/10.1021/acs.analchem.8b02386)</div> </div> </div>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
ScienceDex for faculty
Your academic CV and NIH biosketch
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