Evidence map›Paper›PMID 21241501›Full record

ArticleSource code for biology and medicine2011

WebGimm: An integrated web-based platform for cluster analysis, functional analysis, and interactive visualization of results.

Vineet K Joshi, Johannes M Freudenberg, Zhen Hu, Mario Medvedovic

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Source code for biology and medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Vineet K JoshiLaboratory for Statistical Genomics and Systems Biology, Department of Environmental Health, University of Cincinnati College of Medicine, 3223 Eden Av, ML 56, Cincinnati OH 45267-0056, USA. medvedm@ucmail.uc.edu.
Johannes M Freudenberg
Zhen Hu
Mario Medvedovic

Funding

Bayesian Mixture Modeling of Functional Genomics DataR01HG003749 · NHGRI · UNIVERSITY OF CINCINNATI · PI MEDVEDOVIC, MARIO · 2006 to 2009
$1.4M
Integrative Probabilistic Models for Identifying Transcriptional ModulesR21LM009662 · NLM · UNIVERSITY OF CINCINNATI · PI MEDVEDOVIC, MARIO · 2008 to 2009
$374k
NHGRI NIH HHS R01 HG003749NLM NIH HHS R21 LM009662
6 · The paper itself

Abstract

Cluster analysis methods have been extensively researched, but the adoption of new methods is often hindered by technical barriers in their implementation and use. WebGimm is a free cluster analysis web-service, and an open source general purpose clustering web-server infrastructure designed to facilitate easy deployment of integrated cluster analysis servers based on clustering and functional annotation algorithms implemented in R. Integrated functional analyses and interactive browsing of both, clustering structure and functional annotations provides a complete analytical environment for cluster analysis and interpretation of results. The Java Web Start client-based interface is modeled after the familiar cluster/treeview packages making its use intuitive to a wide array of biomedical researchers. For biomedical researchers, WebGimm provides an avenue to access state of the art clustering procedures. For Bioinformatics methods developers, WebGimm offers a convenient avenue to deploy their newly developed clustering methods. WebGimm server, software and manuals can be freely accessed at http://ClusterAnalysis.org/.

Identifiers

PMID21241501
PMCPMC3033799

What OpenQuestion holds

Textmetadata
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.