机器学习和计算蛋白质组

Applications of Intelligent Data Acquisition for Multiplexed Proteomics 

Devin Schweppe, University of Washington, Washington, United States 

Advancing Precision Oncology Through Proteogenomics: Challenges and Opportunities 

Bing Zhang, Baylor University, Texas, United States 

Deep learning-derived evaluation metrics for benchmarking computational pipelines for the analysis of phosphoproteomic data 

Wen Jiang, Bo Wen, Kai Li, Felipe Leprevost, Jamie Moon, Nathan Edwards, Tao Liu, Alexey Nesvizhskii and Bing Zhang

hu.MAP 2.0: Integration of Over 15,000 Proteomic Experiments Builds a Global Compendium of Human Multiprotein Assemblies 

Kevin Drew, John Wallingford and Edward Marcotte