标准化
工作流程
计算机科学
标杆管理
蛋白质组学
数据科学
复制(统计)
计算模型
实施
软件工程
数据库
人工智能
生物
基因
操作系统
业务
病毒学
营销
生物化学
作者
Christophe Vanderaa,Laurent Gatto
摘要
Sound data analysis is essential to retrieve meaningful biological information from single-cell proteomics experiments. This analysis is carried out by computational methods that are assembled into workflows, and their implementations influence the conclusions that can be drawn from the data. In this work, we explore and compare the computational workflows that have been used over the last four years and identify a profound lack of consensus on how to analyze single-cell proteomics data. We highlight the need for benchmarking of computational workflows and standardization of computational tools and data, as well as carefully designed experiments. Finally, we cover the current standardization efforts that aim to fill the gap, list the remaining missing pieces, and conclude with lessons learned from the replication of published single-cell proteomics analyses. © 2023 Wiley Periodicals LLC.
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