Evidence map›Paper›PMID 31870407›Full record

ArticleGenome biology2019

tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies.

Tianhua Liao, Yuchen Wei, Mingjing Luo, Guo-Ping Zhao, Haokui Zhou

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Gut microbiota in dementia with Lewy bodies.NPJ Parkinson's disease · 2022
    Article
  8. Topological data analysis in biomedicine: A review.Journal of biomedical informatics · 2022
    Review
  9. Article
  10. COVID-19 severity is associated with population-level gut microbiome variations.Frontiers in cellular and infection microbiology · 2022
    Article
  11. The topology of data: opportunities for cancer research.Bioinformatics (Oxford, England) · 2021
    Article
  12. NFnetFu: A novel workflow for microbiome data fusion.Computers in biology and medicine · 2021
    Article
  13. Article
  14. Review
  15. Mathematical-based microbiome analytics for clinical translation.Computational and structural biotechnology journal · 2021
    Review
  16. Article
  17. Article
  18. 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.

Tianhua LiaoInstitute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Yuchen WeiDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong, 999077, SAR, China.
Mingjing LuoInstitute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Guo-Ping ZhaoInstitute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. gpzhao@sibs.ac.cn.
Haokui ZhouInstitute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. haokui.zhou@gmail.com.ORCID 0000-0002-6931-3377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Untangling the complex variations of microbiome associated with large-scale host phenotypes or environment types challenges the currently available analytic methods. Here, we present tmap, an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies. The performance of tmap in detecting nonlinear patterns is validated by different scenarios of simulation, which clearly demonstrate its superiority over the most commonly used methods. Application of tmap to several population-scale microbiomes extensively demonstrates its strength in revealing microbiome-associated host or environmental features and in understanding the systematic interrelations among their association patterns. tmap is available at https://github.com/GPZ-Bioinfo/tmap.

Indexed as

MicrobiotaSoftwareData MiningHumansEnterotype analysisMicrobiome stratificationMicrobiome-wide association analysisNonlinear associationPopulation-scale microbiomeTopological data analysis

Identifiers

PMID31870407
PMCPMC6927166

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.