Automating the construction of gene ontologies.

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.

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.

Who cites it

6 citing papers in PubMed.

1. Using Biological Networks to Guide Biomedical Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
   Article
2. DDOT: A Swiss Army Knife for Investigating Data-Driven Biological Ontologies.Cell systems · 2019
   Article
3. DECODE: an integrated differential co-expression and differential expression analysis of gene expression data.BMC bioinformatics · 2015
   Article
4. Minimal metabolic pathway structure is consistent with associated biomolecular interactions.Molecular systems biology · 2014
   Article
5. Inferring gene ontologies from pairwise similarity data.Bioinformatics (Oxford, England) · 2014
   Article
6. Progress and challenges in the computational prediction of gene function using networks: 2012-2013 update.F1000Research · 2013
   Article

Corrections and comments

• Comment on
  A gene ontology inferred from molecular networks.2013

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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