Evidence map›Paper›PMID 23573084›Full record

ArticleAdvances in bioinformatics2013

Gene regulation, modulation, and their applications in gene expression data analysis.

Mario Flores, Tzu-Hung Hsiao, Yu-Chiao Chiu, Eric Y Chuang, Yufei Huang, Yidong Chen

Open access · hybridAbstract read
In one paragraph

Article in Advances in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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  11. Classification of Microarray Data Using Kernel Fuzzy Inference System.International scholarly research notices · 2014
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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

6 authors at 3 institutions in 2 countries.

Mario FloresDepartment of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA.
Tzu-Hung Hsiao
Yu-Chiao Chiu
Eric Y Chuang
Yufei Huang
Yidong Chen
National Taiwan University · TWThe University of Texas at San Antonio · USThe University of Texas Health Science Center at San Antonio · US

Funding

STRUCTURAL VISUALIZATION IN BIOINFORMATICSG12RR013646 · NCRR · UNIVERSITY OF TEXAS SAN ANTONIO · PI JOSE-YACAMAN, MIGUEL · 1998 to 2011
$19.6M
NCRR NIH HHS G12 RR013646
6 · The paper itself

Abstract

Common microarray and next-generation sequencing data analysis concentrate on tumor subtype classification, marker detection, and transcriptional regulation discovery during biological processes by exploring the correlated gene expression patterns and their shared functions. Genetic regulatory network (GRN) based approaches have been employed in many large studies in order to scrutinize for dysregulation and potential treatment controls. In addition to gene regulation and network construction, the concept of the network modulator that has significant systemic impact has been proposed, and detection algorithms have been developed in past years. Here we provide a unified mathematic description of these methods, followed with a brief survey of these modulator identification algorithms. As an early attempt to extend the concept to new RNA regulation mechanism, competitive endogenous RNA (ceRNA), into a modulator framework, we provide two applications to illustrate the network construction, modulation effect, and the preliminary finding from these networks. Those methods we surveyed and developed are used to dissect the regulated network under different modulators. Not limit to these, the concept of "modulation" can adapt to various biological mechanisms to discover the novel gene regulation mechanisms.

Identifiers

PMID23573084
PMCPMC3610383
OpenAlexW2050015555

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.