Evidence map›Paper›PMID 29914123›Full record

ArticleMolecules (Basel, Switzerland)2018

Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein⁻Protein Interaction Network.

Buwen Cao, Shuguang Deng, Hua Qin, Pingjian Ding, Shaopeng Chen, Guanghui Li

Abstract readComparative Study
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. 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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Molecular Computing and Bioinformatics.Molecules (Basel, Switzerland) · 2019
    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

6 authors.

Buwen CaoCollege of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China. cbwchj@126.com.
Shuguang DengCollege of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China. shuguangdeng@163.com.
Hua QinCollege of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China. qinhua_hcu@163.com.
Pingjian DingCollege of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China. dpj@hnu.edu.cn.
Shaopeng ChenCollege of Mathematics and Computer Science, Hunan Normal University, Changsha 410081, China. chenshaopeng2010@gmail.com.
Guanghui LiCollege of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China. ghli16@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput technology has generated large-scale protein interaction data, which is crucial in our understanding of biological organisms. Many complex identification algorithms have been developed to determine protein complexes. However, these methods are only suitable for dense protein interaction networks, because their capabilities decrease rapidly when applied to sparse protein⁻protein interaction (PPI) networks. In this study, based on penalized matrix decomposition (

Indexed as

AlgorithmsComputational BiologyGene Regulatory NetworksHumansProtein Interaction Mappingclusteringpenalized matrix decompositionprotein complexprotein–protein interaction (PPI)

Identifiers

PMID29914123
PMCPMC6100434

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.