Evidence map›Paper›PMID 23268787›Full record

ArticleGenome biology2012

Differential analysis of high-throughput quantitative genetic interaction data.

Gordon J Bean, Trey Ideker

Abstract read
In one paragraph

Article in Genome biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  6. Review
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  13. Integrated platform for genome-wide screening and construction of high-density genetic interaction maps in mammalian cells.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gordon J Bean
Trey Ideker

Funding

Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
A Systems Approach to Mapping the DNA Damage ResponseR01ES014811 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2005 to 2021
$8.6M
Comparative Analysis of Genetic Interaction NetworksR01GM084279 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY, KROGAN, NEVAN J · 2008 to 2017
$3.9M
NIEHS NIH HHS ES014811NIEHS NIH HHS R01 ES014811NIGMS NIH HHS 5T32GM008666-13NIGMS NIH HHS GM084279NIGMS NIH HHS T32 GM008666
6 · The paper itself

Abstract

Synthetic genetic arrays have been very effective at measuring genetic interactions in yeast in a high-throughput manner and recently have been expanded to measure quantitative changes in interaction, termed 'differential interactions', across multiple conditions. Here, we present a strategy that leverages statistical information from the experimental design to produce a novel, quantitative differential interaction score, which performs favorably compared to previous differential scores. We also discuss the added utility of differential genetic-similarity in differential network analysis. Our approach is preferred for differential network analysis, and our implementation, written in MATLAB, can be found at http://chianti.ucsd.edu/~gbean/compute_differential_scores.m.

Indexed as

Gene Regulatory NetworksData Interpretation, StatisticalEpistasis, GeneticGenetic TechniquesModels, GeneticMutationYeasts

Identifiers

PMID23268787
PMCPMC4056373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.