Evidence map›Paper›PMID 24748858›Full record

ArticleGenomics & informatics2014

Interactive Visualization for Patient-to-Patient Comparison.

Quang Vinh Nguyen, Guy Nelmes, Mao Lin Huang, Simeon Simoff, Daniel Catchpoole

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics & informatics, 2014. 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. Article
  4. Review
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.

Quang Vinh NguyenMARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.
Guy NelmesThe Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.
Mao Lin HuangSchool of Software, Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia.
Simeon SimoffMARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.
Daniel CatchpooleThe Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing large and complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as an interactive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizing it in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, we have developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patient population in the similarity space to the detailed views of genes. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. We demonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.

Indexed as

data displaygenomic visualizationinteractive visualizationprecursor cell lymphoblastic leukemia-lymphomavisual analyticsvisualization

Identifiers

PMID24748858
PMCPMC3990763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.