Evidence map›Paper›PMID 35989604›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Deep clustering of bacterial tree images.

Maryam Hayati, Leonid Chindelevitch, David Aanensen, Caroline Colijn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep clustering of bacterial tree images.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  4. Genomic population structures of microbial pathogens.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

4 authors.

Maryam HayatiSchool of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.
Leonid ChindelevitchDepartment of Infectious Disease Epidemiology, Imperial College, Praed Street, London W2 1NY, UK.ORCID 0000-0002-6619-6013
David AanensenBig Data Institute, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.ORCID 0000-0001-6688-0854
Caroline ColijnDepartment of Mathematics, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.ORCID 0000-0001-6097-6708

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

The field of genomic epidemiology is rapidly growing as many jurisdictions begin to deploy whole-genome sequencing (WGS) in their national or regional pathogen surveillance programmes. WGS data offer a rich view of the shared ancestry of a set of taxa, typically visualized with phylogenetic trees illustrating the clusters or subtypes present in a group of taxa, their relatedness and the extent of diversification within and between them. When methicillin-resistant

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsCluster AnalysisGenome, BacterialHumansPhylogenyStaphylococcus aureusAnti-Bacterial Agentsclusteringdeep learningimage processingphylogenetics

Identifiers

PMID35989604
PMCPMC9393560

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.