Evidence map›Paper›PMID 29942676›Full record

ArticlePeerJ2018

GEsture: an online hand-drawing tool for gene expression pattern search.

Chunyan Wang, Yiqing Xu, Xuelin Wang, Li Zhang, Suyun Wei, Qiaolin Ye, Youxiang Zhu, Hengfu Yin, Manoj Nainwal, Luis Tanon-Reyes and 3 more

Abstract read
In one paragraph

Article in PeerJ, 2018. 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. Article
  2. 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

13 authors.

Chunyan WangCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Yiqing XuCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Xuelin WangCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Li ZhangCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Suyun WeiCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Qiaolin YeCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Youxiang ZhuCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.
Hengfu YinKey Laboratory of Forest genetics and breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, Zhejiang, China.
Manoj NainwalDepartment of Computer Science, Nantong University, Nantong, Jiangsu, China.
Luis Tanon-ReyesDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, United States of America.
Feng ChengDepartment of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, United States of America.
Tongming YinCollege of Forest Resources and Environment, Nanjing Forestry University, Nanjing, Jiangsu, China.
Ning YeCollege of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression profiling data provide useful information for the investigation of biological function and process. However, identifying a specific expression pattern from extensive time series gene expression data is not an easy task. Clustering, a popular method, is often used to classify similar expression genes, however, genes with a 'desirable' or 'user-defined' pattern cannot be efficiently detected by clustering methods. To address these limitations, we developed an online tool called GEsture. Users can draw, or graph a curve using a mouse instead of inputting abstract parameters of clustering methods. GEsture explores genes showing similar, opposite and time-delay expression patterns with a gene expression curve as input from time series datasets. We presented three examples that illustrate the capacity of GEsture in gene hunting while following users' requirements. GEsture also provides visualization tools (such as expression pattern figure, heat map and correlation network) to display the searching results. The result outputs may provide useful information for researchers to understand the targets, function and biological processes of the involved genes.

Indexed as

BioinformaticsGene expressionHand-drawingMicroarraysTime series

Identifiers

PMID29942676
PMCPMC6015481

What OpenQuestion holds

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LicenceCC BY
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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.