Evidence map›Paper›PMID 30649296›Full record

ArticleDatabase : the journal of biological databases and curation2019

Restructured GEO: restructuring Gene Expression Omnibus metadata for genome dynamics analysis.

Guocai Chen, Juan Camilo Ramírez, Nan Deng, Xing Qiu, Canglin Wu, W Jim Zheng, Hulin Wu

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer's Disease.Combinatorial chemistry & high throughput screening · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. RummaGEO: Automatic Mining of Human and Mouse Gene Sets from GEO.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. GeMI: interactive interface for transformer-based Genomic Metadata Integration.Database : the journal of biological databases and curation · 2022
    Article
  18. Article
  19. 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

7 authors.

Guocai ChenSchool of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Juan Camilo RamírezUniversidad Antonio Nariño, Bogotá, Colombia.
Nan DengDepartment of Biostatistics & Data Science, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Xing QiuDepartment of Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Canglin WuTechWave International. Inc., Houston, Texas, USA.
W Jim ZhengSchool of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Hulin WuDepartment of Biostatistics & Data Science, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.

Funding

Statistical Methods for ODE Models in AIDS ResearchR01AI087135 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WU, HULIN · 2010 to 2019
$3.2M
NIAID NIH HHS HHSN272201000019CNIAID NIH HHS R01 AI087135
6 · The paper itself

Abstract

Motivation: Gene Expression Omnibus (GEO) and other publicly available data store their metadata in the format of unstructured English text, which is very difficult for automated reuse. Results: We employed text mining techniques to analyze the metadata of GEO and developed Restructured GEO database (ReGEO). ReGEO reorganizes and categorizes GEO series and makes them searchable by two new attributes extracted automatically from each series' metadata. These attributes are the number of time points tested in the experiment and the disease being investigated. ReGEO also makes series searchable by other attributes available in GEO, such as platform organism, experiment type, associated PubMed ID as well as general keywords in the study's description. Our approach greatly expands the usability of GEO data, demonstrating a credible approach to improve the utility of vast amount of publicly available data in the era of Big Data research.

Indexed as

Database Management SystemsDatabases, GeneticData MiningGene ExpressionMetadataMetagenomics

Identifiers

PMID30649296
PMCPMC6333964

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.