Evidence map›Paper›PMID 28194163›Full record

ArticleEURASIP journal on bioinformatics & systems biology2014

Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms.

Jie Fang, Hongjia Ouyang, Liangzhong Shen, Edward R Dougherty, Wenbin Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EURASIP journal on bioinformatics & systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Attractor - a new turning point in drug discovery.Drug design, development and therapy · 2019
    Review
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.

Jie FangDepartment of Physics and Electronic information engineering, Wenzhou University, Wenzhou, 325035 Zhejiang China.
Hongjia OuyangDepartment of Physics and Electronic information engineering, Wenzhou University, Wenzhou, 325035 Zhejiang China.
Liangzhong ShenDepartment of Physics and Electronic information engineering, Wenzhou University, Wenzhou, 325035 Zhejiang China.
Edward R DoughertyDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, 33101 TX USA.
Wenbin LiuDepartment of Physics and Electronic information engineering, Wenzhou University, Wenzhou, 325035 Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inference of gene regulatory networks is a core problem in systems biology. Many inference algorithms have been proposed and all suffer from false positives. In this paper, we use the minimum description length (MDL) principle to reduce the rate of false positives for best-fit algorithms. The performance of these algorithms is evaluated

Indexed as

Best-fitBoolean networkConditional mutual informationMinimum description length principle

Identifiers

PMID28194163
PMCPMC5270450

What OpenQuestion holds

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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.