Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness.
In quantitative proteomics, mass tag labeling techniques have been widely adopted in mass spectrometry experiments. These techniques allow peptides (short amino acid sequences) and proteins from multiple samples of a batch being detected and quantified in a single experiment, and as such greatly imp...
| Published in: | Biostatistics Vol. 20; no. 4; pp. 648 - 666 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Oxford University Press / USA
Oct2019
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| Online Access: | View this record in EBSCOhost |