Quality assessment and interference detection in targeted mass spectrometry data using machine learning
Abstract Advances in the field of targeted proteomics and mass spectrometry have significantly improved assay sensitivity and multiplexing capacity. The high-throughput nature of targeted proteomics experiments has increased the rate of data production, which requires development of novel analytical...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-10-01
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| Series: | Clinical Proteomics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12014-018-9209-x |