Posters
« Back
Prediction of Protein-to-Protein Interactions
EP20183
Poster Title: Prediction of Protein-to-Protein Interactions
Submitted on 19 Dec 2013
Author(s): C.Gilissen, P.Groot, P.Lucas, J.Veltman, A.GeurtsvanKessel and M.Egmont-Petersen
Affiliations: Radboud University, Nijmegen and UMC St. Radboud Nijmegen
Poster Views: 1,364
View poster »


Poster Information
Abstract: We use local extrema in microarray time series data as the basis for discretisation. By comparing discretised gene expressions using similarity functions, we discover putative protein-to-protein interactions. We validate the results by use of public true positive and true negative databases for protein-to-protein interactions and demonstrate the high predictiveness of these local extrema as a time series feature.Summary: We use local extrema in microarray time series data as the basis for discretisation. By comparing discretised gene expressions using similarity functions, we discover putative protein-to-protein interactions. We validate the results by use of public true positive and true negative databases for protein-to-protein interactions and demonstrate the high predictiveness of these local extrema as a time series feature.Report abuse »
Creative Commons

Related Posters


Abstract 23: Precision medicine approaches to Fanconi anemia oral cancer personalized prevention and treatment
Daniel K. Swenson; Beverly R. Wuertz; Mustafa M. Ali; Gretchen M. Unger; Frank G. Ondrey

Method of Host Cell Protein Analysis
Creative Proteomics

Untargeted Metabolomics Solutions
Creative Proteomics

Learn Lipidomics Research Methods
Creative Proteomics

Untargeted and Targeted Lipidomics
Creative Proteomics