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DreamAI: algorithm for the imputation of proteomics data

2020-07-22

Abstract excerpt

Deep proteomics profiling using labeled LC-MS/MS experiments has been proven to be powerful to study complex diseases. However, due to the dynamic nature of the discovery mass spectrometry, the generated data contain a substantial fraction of missing values. This poses great challenges for data analyses, as many tools, especially those for high dimensional data, cannot deal with missing values directly. To address...

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Literature Corpus work
e16b687c-4f02-53f3-baf2-edb62a3f0fe2
DOI
10.1101/2020.07.21.214205
Open publication

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DreamAI: algorithm for the imputation of proteomics dataDOI 10.1101/2020.07.21.214205
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