Evidence map›Paper›PMID 28725466›Full record

ArticleNPJ systems biology and applications2016

Not just a colourful metaphor: modelling the landscape of cellular development using Hopfield networks.

Atefeh Taherian Fard, Sriganesh Srihari, Jessica C Mar, Mark A Ragan

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
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  13. Statistical mechanics meets single-cell biology.Nature reviews. Genetics · 2021
    Review
  14. Article
  15. Article
  16. Development and utilization of human decidualization reporter cell line uncovers new modulators of female fertility.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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  18. Review
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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.

Atefeh Taherian FardInstitute for Molecular Bioscience and ARC Centre of Excellence in Bioinformatics, The University of Queensland, St Lucia, Brisbane, QLD, Australia.
Sriganesh SrihariInstitute for Molecular Bioscience and ARC Centre of Excellence in Bioinformatics, The University of Queensland, St Lucia, Brisbane, QLD, Australia.ORCID 0000-0002-0713-6723
Jessica C MarDepartment of Systems & Computational Biology, Albert Einstein College of Medicine, Bronx, NY, USA.
Mark A RaganInstitute for Molecular Bioscience and ARC Centre of Excellence in Bioinformatics, The University of Queensland, St Lucia, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epigenetic landscape was introduced by Conrad Waddington as a metaphor of cellular development. Like a ball rolling down a hillside is channelled through a succession of valleys until it reaches the bottom, cells follow specific trajectories from a pluripotent state to a committed state. Transcription factors (TFs) interacting as a network (the gene regulatory network (GRN)) orchestrate this developmental process within each cell. Here, we quantitatively model the epigenetic landscape using a kind of artificial neural network called the Hopfield network (HN). An HN is composed of nodes (genes/TFs) and weighted undirected edges, resulting in a weight matrix (

Identifiers

PMID28725466
PMCPMC5516853

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Registered trials

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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.