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