Mass spectrometry (MS)‐based quantitative proteomics experiments typically assay a subset of up to 60% of the ≈20 000 human protein coding genes. Computational methods for imputing the missing values using RNA expression data usually allow only for imputations of proteins measured in at least some of the samples. In silico methods for comprehensively estimating abundances across all proteins are still missing.

中文翻译：

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使用深度学习来推断蛋白质表达测量。

基于质谱 (MS) 的定量蛋白质组学实验通常会分析大约 20 000 个人类蛋白质编码基因中高达 60% 的子集。使用 RNA 表达数据估算缺失值的计算方法通常仅允许对至少一些样品中测量的蛋白质进行估算。仍然缺乏全面估计所有蛋白质丰度的计算机方法。