Unknown

Dataset Information

0

SANTA: quantifying the functional content of molecular networks.


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.

SUBMITTER: Cornish AJ 

PROVIDER: S-EPMC4161294 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

SANTA: quantifying the functional content of molecular networks.

Cornish Alex J AJ   Markowetz Florian F  

PLoS computational biology 20140911 9


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, SAN  ...[more]

Similar Datasets

| S-EPMC2953006 | biostudies-literature
| S-EPMC10484924 | biostudies-literature
| S-EPMC4183583 | biostudies-literature
| S-EPMC6501337 | biostudies-literature
| S-EPMC4667701 | biostudies-literature
| S-EPMC218723 | biostudies-literature
| S-EPMC8159255 | biostudies-literature
| S-EPMC8364101 | biostudies-literature
| S-EPMC3009507 | biostudies-literature
| S-EPMC7692325 | biostudies-literature