Evidence map›Paper›PMID 29180805›Full record

ArticleScientific reports2017

A fast approach to detect gene-gene synergy.

Pengwei Xing, Yuan Chen, Jun Gao, Lianyang Bai, Zheming Yuan

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Inference of Gene Regulatory Networks Based on Multi-view Hierarchical Hypergraphs.Interdisciplinary sciences, computational life sciences · 2024
    Article
  2. Article
  3. Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022
    Review
  4. Article
  5. Article
  6. 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

5 authors.

Pengwei XingHunan Engineering & Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China.
Yuan ChenHunan Engineering & Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China.
Jun GaoDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, 72205, USA.
Lianyang BaiBiotechnology Research Center, Hunan Academy of Agricultural Sciences, Changsha, Hunan, 410125, China. bailianyang2005@aliyun.com.
Zheming YuanHunan Engineering & Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China. zhmyuan@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selecting informative genes, including individually discriminant genes and synergic genes, from expression data has been useful for medical diagnosis and prognosis. Detecting synergic genes is more difficult than selecting individually discriminant genes. Several efforts have recently been made to detect gene-gene synergies, such as dendrogram-based I(X

Indexed as

AlgorithmsGenesComputer SimulationDatabases, GeneticGene Expression RegulationHumansNeoplasms

Identifiers

PMID29180805
PMCPMC5703944

What OpenQuestion holds

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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.