Evidence map›Paper›PMID 24045689›Full record

ReviewNature reviews. Genetics2013

Integrative approaches for finding modular structure in biological networks.

Koyel Mitra, Anne-Ruxandra Carvunis, Sanath Kumar Ramesh, Trey Ideker

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 255 papers.

0numbers the graph read from it
0cells of the map it votes in
255citing 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

255 citing papers in PubMed.

  1. Article
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  8. Harnessing network pharmacology in drug discovery: an integrated approach.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
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195 more citing papers are in PubMed but not listed here.

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

4 authors.

Koyel Mitra1] Department of Medicine, University of California San Diego, La Jolla, California 92093, USA. [2].
Anne-Ruxandra Carvunis
Sanath Kumar Ramesh
Trey Ideker

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NIGMS NIH HHS P41 GM103504NIGMS NIH HHS P50 GM085764NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

A central goal of systems biology is to elucidate the structural and functional architecture of the cell. To this end, large and complex networks of molecular interactions are being rapidly generated for humans and model organisms. A recent focus of bioinformatics research has been to integrate these networks with each other and with diverse molecular profiles to identify sets of molecules and interactions that participate in a common biological function - that is, 'modules'. Here, we classify such integrative approaches into four broad categories, describe their bioinformatic principles and review their applications.

Indexed as

Models, BiologicalAlgorithmsComputational BiologyGene Expression RegulationGene Regulatory NetworksGenome, HumanHumansMetabolic Networks and PathwaysSystems Biology

Identifiers

PMID24045689
PMCPMC3940161

What OpenQuestion holds

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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.