References
Algorithms
[Lazar16]
Lazar et al. (2016) Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies Journal of Proteome Research.
[Wei18]
Wei et al. (2018) Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data scientific reports.
Datasets and Benchmarks
[Penkert21]
Penkert et al. (2021), Proteomic and lipidomic profiling of demyelinating lesions identifies fatty acids as modulators in lesion recovery Cell Reports
[Monasor20]
Monasor et al. (2020), Fibrillar Aβ triggers microglial proteome alterations and dysfunction in Alzheimer mouse models eLife.
[Colombo21]
Colombo et al. (2021), Loss of NPC1 enhances phagocytic uptake and impairs lipid trafficking in microglia Nature communications.