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• W2093269314 abstract "Linking networks of molecular interactions to cellular functions and phenotypes is a key goal in systems biology. Here, we adapt concepts of spatial statistics to assess the functional content of molecular networks. Based on the guilt-by-association principle, our approach (called SANTA) quantifies the strength of association between a gene set and a network, and functionally annotates molecular networks like other enrichment methods annotate lists of genes. As a general association measure, SANTA can (i) functionally annotate experimentally derived networks using a collection of curated gene sets and (ii) annotate experimentally derived gene sets using a collection of curated networks, as well as (iii) prioritize genes for follow-up analyses. We exemplify the efficacy of SANTA in several case studies using the S. cerevisiae genetic interaction network and genome-wide RNAi screens in cancer cell lines. Our theory, simulations, and applications show that SANTA provides a principled statistical way to quantify the association between molecular networks and cellular functions and phenotypes. SANTA is available from http://bioconductor.org/packages/release/bioc/html/SANTA.html." @default.
• W2093269314 created "2016-06-24" @default.
• W2093269314 creator A5052578662 @default.
• W2093269314 creator A5083151857 @default.
• W2093269314 date "2014-09-11" @default.
• W2093269314 modified "2023-10-17" @default.
• W2093269314 title "SANTA: Quantifying the Functional Content of Molecular Networks" @default.
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• W2093269314 doi "https://doi.org/10.1371/journal.pcbi.1003808" @default.
• W2093269314 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4161294" @default.
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• W2093269314 hasPublicationYear "2014" @default.
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