Evidence map›Paper›PMID 25635265›Full record

ArticleIEEE International Conference on Bioinformatics and Biomedicine workshops. IEEE International Conference on Bioinformatics and Biomedicine2009

Mining Association Rules among Gene Functions in Clusters of Similar Gene Expression Maps.

Li An, Zoran Obradovic, Desmond Smith, Olivier Bodenreider, Vasileios Megalooikonomou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE International Conference on Bioinformatics and Biomedicine workshops. IEEE International Conference on Bioinformatics and Biomedicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 17% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Li AnData Engineering Laboratory, Dept. of Computer and Information Sciences, Temple University, PA, USA.
Zoran ObradovicCenter for Information Science and Technology, Temple University, PA, USA.
Desmond SmithDept. of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, CA, USA.
Olivier BodenreiderThe Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Washington D.C., USA.
Vasileios Megalooikonomou
Temple University · USNational Institutes of Health · USUniversity of California, Los Angeles · US

Funding

Transcriptome and proteome mapping of the mouse brainR01NS050148 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMITH, DESMOND JAMES · 2005 to 2009
$2.3M
Large Scale Data Analysis for Brain ImagesR01MH068066 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI MEGALOOIKONOMOU, VASILEIOS · 2004 to 2007
$1.3M
Intramural NIH HHS Z99 LM999999NIMH NIH HHS R01 MH068066NINDS NIH HHS R01 NS050148
6 · The paper itself

Abstract

Association rules mining methods have been recently applied to gene expression data analysis to reveal relationships between genes and different conditions and features. However, not much effort has focused on detecting the relation between gene expression maps and related gene functions. Here we describe such an approach to mine association rules among gene functions in clusters of similar gene expression maps on mouse brain. The experimental results show that the detected association rules make sense biologically. By inspecting the obtained clusters and the genes having the gene functions of frequent itemsets, interesting clues were discovered that provide valuable insight to biological scientists. Moreover, discovered association rules can be potentially used to predict gene functions based on similarity of gene expression maps.

Indexed as

association rules miningclusteringgene expression mapsgene functionsvoxelation

Identifiers

PMID25635265
PMCPMC4307020
OpenAlexW1985626606

What OpenQuestion holds

Textmetadata
LicenceTDM
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.