Integrating Proteomic, Transcriptional, and Interactome Data Reveals Hidden Components of Signaling and Regulatory Networks
Copyright policy )Integrating Proteomic, Transcriptional, and Interactome Data Reveals Hidden Components of Signaling and Regulatory Networks
Analysis of multiple “omic” data sets with a prize-collecting Steiner tree algorithm reveals components of signaling networks that are not obvious by analyzing the data individually.
- Massachusetts Institute of Technology United States
Proteomics, Saccharomyces cerevisiae Proteins, Gene Expression Profiling, Proteins, Saccharomyces cerevisiae, Models, Biological, Pheromones, Protein Interaction Mapping, Animals, Cluster Analysis, Humans, RNA, Messenger, Phosphorylation, Algorithms, Protein Binding, Signal Transduction
Proteomics, Saccharomyces cerevisiae Proteins, Gene Expression Profiling, Proteins, Saccharomyces cerevisiae, Models, Biological, Pheromones, Protein Interaction Mapping, Animals, Cluster Analysis, Humans, RNA, Messenger, Phosphorylation, Algorithms, Protein Binding, Signal Transduction
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