Evidence map›Paper›PMID 29023447›Full record

ArticlePLoS computational biology2017

Network approaches and applications in biology.

Trey Ideker, Ruth Nussinov

Abstract readEditorial
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Minimal frustration underlies the usefulness of incomplete regulatory network models in biology.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Co-expression Networks in Predicting Transcriptional Gene Regulation.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Article
  14. Article
  15. A systems approach to infectious disease.Nature reviews. Genetics · 2020
    Review
  16. Article
  17. Review
  18. Nine quick tips for analyzing network data.PLoS computational biology · 2019
    Article
  19. Robust network inference using response logic.Bioinformatics (Oxford, England) · 2019
    Article
  20. 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.

Trey IdekerDepartment of Medicine, University of California San Diego, La Jolla, California, United States of America.
Ruth NussinovCancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland, United States of America.

Funding

Method Development: Efficient Computer Vision Based AlgorithmsZIABC010442 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$2.4M
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Computational Biology

Identifiers

PMID29023447
PMCPMC5638228

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.