ArticleNature methods2013
Predicting functional gene interactions with the hierarchical interaction score.
Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed.
- Article
- Article
- Toward an integrated map of genetic interactions in cancer cells.Molecular systems biology · 2018Article
- Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.BMC systems biology · 2017Article
- Learning directed acyclic graphs from large-scale genomics data.EURASIP journal on bioinformatics & systems biology · 2017Article
- Inferring modulators of genetic interactions with epistatic nested effects models.PLoS computational biology · 2017Article
- Proteomics profiling of interactome dynamics by colocalisation analysis (COLA).Molecular bioSystems · 2016Article
- PHOCOS: inferring multi-feature phenotypic crosstalk networks.Bioinformatics (Oxford, England) · 2016Article
- Visualizing quantitative microscopy data: History and challenges.Critical reviews in biochemistry and molecular biology · 2016Review
- Article
- Single-cell and multivariate approaches in genetic perturbation screens.Nature reviews. Genetics · 2015Review
- Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects.PloS one · 2015Article
- Toward effective sharing of high-dimensional immunology data.Nature biotechnology · 2014Article
- Signaling networks converge on TORC1-SREBP activity to promote endoplasmic reticulum homeostasis.PloS one · 2014Article
- Population distribution analyses reveal a hierarchy of molecular players underlying parallel endocytic pathways.PloS one · 2014Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems biology aims to unravel the vast network of functional interactions that govern biological systems. To date, the inference of gene interactions from large-scale 'omics data is typically achieved using correlations. We present the hierarchical interaction score (HIS) and show that the HIS outperforms commonly used methods in the inference of functional interactions between genes measured in large-scale experiments, making it a valuable statistic for systems biology.
Indexed as
Identifiers
24097268What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.