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RSC Chemical Biology|May 7, 2026
Decoding protein-phospholipid interaction networks in cancer: the role of acyl-chain remodelingBerit Blume, Grace Potter, Carsten Schultz, et al.FEMS Microbiology Reviews|December 5, 2008
Computational and experimental approaches to chart the Escherichia coli cell-envelope-associated proteome and interactomeJuan Javier Díaz-Mejía, Mohan Babu, Andrew EmiliMolecular & Cellular Proteomics : MCP|March 3, 2005
Integrating global proteomic and genomic expression profiles generated from islet alpha cells: opportunities and challenges to deriving reliable biological inferencesMarlena Maziarz, Clement Chung, Daniel J Drucker, et al.Nature Reviews. Cancer|December 15, 2006
Computational prediction of cancer-gene functionPingzhao Hu, Gary Bader, Dennis A Wigle, et al.Bioinformatics (Oxford, England)|January 25, 2011
Computational refinement of post-translational modifications predicted from tandem mass spectrometryClement Chung, Jian Liu, Andrew Emili, et al.Journal of Molecular and Cellular Cardiology|August 23, 2017
Exercise-responsive phosphoproteins in the heartHongbo Guo, Ruth Isserlin, Andrew Emili, et al.Proteomics|December 14, 2020
Protein Interaction Network Biology in NeuroscienceAvik Basu, Peter Ea Ash, Benjamin Wolozin, et al.Scientific Reports|May 10, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomicsChristoph Lippert, Gerald Quon, Eun Yong Kang, et al.Nature Methods|September 6, 2011
FaST linear mixed models for genome-wide association studiesChristoph Lippert, Jennifer Listgarten, Ying Liu, et al.Plos One|May 16, 2012
Learning transcriptional regulatory relationships using sparse graphical modelsXiang Zhang, Wei Cheng, Jennifer Listgarten, et al.Pageof 34