ArticleGenome biology2009
Towards accurate imputation of quantitative genetic interactions.
Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- A Gaussian process-based definition reveals new and bona fide genetic interactions compared to a multiplicative model in the Gram-negative Escherichia coli.Bioinformatics (Oxford, England) · 2020Article
- Data Imputation in Epistatic MAPs by Network-Guided Matrix Completion.Journal of computational biology : a journal of computational molecular cell biology · 2015Article
- Prediction of Genetic Interactions Using Machine Learning and Network Properties.Frontiers in bioengineering and biotechnology · 2015Review
- On protocols and measures for the validation of supervised methods for the inference of biological networks.Frontiers in genetics · 2013Review
- Predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using short polypeptide clusters.Proteome science · 2012Article
- Inferring mechanisms of compensation from E-MAP and SGA data using local search algorithms for max cut.Journal of computational biology : a journal of computational molecular cell biology · 2011Article
- An integrated approach to characterize genetic interaction networks in yeast metabolism.Nature genetics · 2011Article
- Improved functional overview of protein complexes using inferred epistatic relationships.BMC systems biology · 2011Article
- Quantitative maps of genetic interactions in yeast - comparative evaluation and integrative analysis.BMC systems biology · 2011Article
- Imputing and predicting quantitative genetic interactions in epistatic MAPs.Methods in molecular biology (Clifton, N.J.) · 2011Article
- Genome-wide scoring of positive and negative epistasis through decomposition of quantitative genetic interaction fitness matrices.PloS one · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions.
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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.