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- W88968627 abstract "With the ever increasing amount of high-throughput molecular profile data, biologists need versatile tools to enable them to quickly and succinctly analyze their data. Furthermore, pathway databases have grown increasingly robust with the KEGG database at the forefront. Previous tools have color-coded the genes on different pathways using differential expression analysis. Unfortunately, they do not adequately capture the relationships of the genes amongst one another. Structure Enrichment Analysis (SEA) thus seeks to take biological analysis to the next level. SEA accomplishes this goal by highlighting for users the sub-pathways of a biological pathways that best correspond to their molecular profile data in an easy to use GUI interface. Network Partitioning, Network Reconstruction, Structure Enrichment Analysis, Community Detection Algorithms, Biological Networks, KEGG" @default.
- W88968627 created "2016-06-24" @default.
- W88968627 creator A5079119759 @default.
- W88968627 date "2011-01-01" @default.
- W88968627 modified "2023-09-27" @default.
- W88968627 title "SEA: a novel computational and GUI software pipeline for detecting activated biological sub-pathways" @default.
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