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Plos Computational Biology|October 18, 2018
Genomic data integration systematically biases interactome mappingMichael A Skinnider, R Greg Stacey, Leonard J FosterMolecular & Cellular Proteomics : MCP|February 16, 2021
On the Robustness of Graph-Based Clustering to Random Network AlterationsR Greg Stacey, Michael A Skinnider, Leonard J FosterBioinformatics (Oxford, England)|January 20, 2021
PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry dataMichael A Skinnider, Charley Cai, R Greg Stacey, et al.BMC Bioinformatics|October 25, 2017
A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE)R Greg Stacey, Michael A Skinnider, Nichollas E Scott, et al.BMC Genomics|October 21, 2018
Context-specific interactions in literature-curated protein interaction databasesR Greg Stacey, Michael A Skinnider, Jenny H L Chik, et al.Nature Methods|July 2, 2021
Meta-analysis defines principles for the design and analysis of co-fractionation mass spectrometry experimentsMichael A Skinnider, Leonard J FosterNature Methods|April 10, 2019
Evaluating measures of association for single-cell transcriptomicsMichael A Skinnider, Jordan W Squair, Leonard J FosterNature Communications|December 15, 2023
Mapping protein states and interactions across the tree of life with co-fractionation mass spectrometryMichael A Skinnider, Mopelola O Akinlaja, Leonard J FosterMolecular & Cellular Proteomics : MCP|December 4, 2019
Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction NetworksDaniela Salas, R Greg Stacey, Mopelola Akinlaja, et al.Cell|July 2, 2021
An atlas of protein-protein interactions across mouse tissuesMichael A Skinnider, Nichollas E Scott, Anna Prudova, et al.Pageof 35