Size matters: network inference tackles the genome scale.

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. Reverse engineering and identification in systems biology: strategies, perspectives and challenges.Journal of the Royal Society, Interface · 2014
   Review
2. Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.Briefings in bioinformatics · 2012
   Article
3. Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.Nucleic acids research · 2012
   Article
4. DREAM3: network inference using dynamic context likelihood of relatedness and the inferelator.PloS one · 2010
   Article
5. Systems biology and cancer stem cells.Journal of cellular and molecular medicine
   Review
6. Adaptation of cells to new environments.Wiley interdisciplinary reviews. Systems biology and medicine
   Review

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

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as