5202768
doi
10.5281/zenodo.5202768
oai:zenodo.org:5202768
Woyshner, Kyla
Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte CA 91010
Mcdermott, MeiLu
Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte CA 91010
Wang, Leo
Departments of Pediatrics and Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte CA 91010
Li, Jingyi
Department of Statistics, University of California, Los Angeles, CA 90095
APIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms
Chen, Yiling
Department of Statistics, University of California, Los Angeles, CA 90095
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>The data folder includes all the processed database search results as well as the combining results from ConsensusID and Scaffold on the complex proteomics standard dataset generated from <em>Pyrococcus furiosus</em>.</p>
<p>The Rcode folder contains all the R code files for running APIR, analyzing results, and generate figures.</p>
<p> </p>
<p> </p>
Zenodo
2021-09-08
info:eu-repo/semantics/article
5202767
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