Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
(2016) Journal of Proteome Research — Vol. 15, n° 4, p. 1116-1125 (2016)
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University of Cambridge
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Lazar, C., Gatto, L., Ferro, M., Bruley, C., & Burger, T. (2016). Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies. Journal of Proteome Research, 15(4), 1116-1125. https://doi.org/10.1021/acs.jproteome.5b00981 (Original work published 2016)