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TidyMass: An Object-oriented Reproducible Analysis Framework for LC-MS Data
View ORCID ProfileXiaotao Shen, Hong Yan, Chuchu Wang, Peng Gao, Caroline H. Johnson, Michael P. Snyder
doi: https://doi.org/10.1101/2022.03.15.484499
Xiaotao Shen
1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Hong Yan
2Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
Chuchu Wang
3Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
Peng Gao
1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Caroline H. Johnson
2Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
Michael P. Snyder
1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
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Posted March 17, 2022.
TidyMass: An Object-oriented Reproducible Analysis Framework for LC-MS Data
Xiaotao Shen, Hong Yan, Chuchu Wang, Peng Gao, Caroline H. Johnson, Michael P. Snyder
bioRxiv 2022.03.15.484499; doi: https://doi.org/10.1101/2022.03.15.484499
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