BMCCARDIOVASCDISORD . BIOMEDCENTRAL . COM {
}
Title:
Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy | BMC Cardiovascular Disorders | Full Text
Description:
Background Hypertrophic cardiomyopathy (HCM) represents one of the most common inherited heart diseases. To identify key molecules involved in the development of HCM, gene expression patterns of the heart tissue samples in HCM patients from multiple microarray and RNA-seq platforms were investigated. Methods The significant genes were obtained through the intersection of two gene sets, corresponding to the identified differentially expressed genes (DEGs) within the microarray data and within the RNA-Seq data. Those genes were further ranked using minimum-Redundancy Maximum-Relevance feature selection algorithm. Moreover, the genes were assessed by three different machine learning methods for classification, including support vector machines, random forest and k-Nearest Neighbor. Results Outstanding results were achieved by taking exclusively the top eight genes of the ranking into consideration. Since the eight genes were identified as candidate HCM hallmark genes, the interactions between them and known HCM disease genes were explored through the protein–protein interaction (PPI) network. Most candidate HCM hallmark genes were found to have direct or indirect interactions with known HCM diseases genes in the PPI network, particularly the hub genes JAK2 and GADD45A. Conclusions This study highlights the transcriptomic data integration, in combination with machine learning methods, in providing insight into the key hallmark genes in the genetic etiology of HCM.
Website Age:
25 years and 10 months (reg. 1999-08-06).
Matching Content Categories {📚}
- Science
- Social Networks
- Technology & Computing
Content Management System {📝}
What CMS is bmccardiovascdisord.biomedcentral.com built with?
Custom-built
No common CMS systems were detected on Bmccardiovascdisord.biomedcentral.com, and no known web development framework was identified.
Traffic Estimate {📈}
What is the average monthly size of bmccardiovascdisord.biomedcentral.com audience?
🏙️ Massive Traffic: 50M - 100M visitors per month
Based on our best estimate, this website will receive around 99,859,727 visitors per month in the current month.
check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush
How Does Bmccardiovascdisord.biomedcentral.com Make Money? {💸}
Display Ads {🎯}
The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.
Ads are managed by yourbow.com. Particular relationships are as follows:
Direct Advertisers (3)
yourbow.com, google.com, doceree.comHow Much Does Bmccardiovascdisord.biomedcentral.com Make? {💰}
Display Ads {🎯}
$1,260,000 per month
According to our algorithms, Bmccardiovascdisord.biomedcentral.com's monthly online income from display advertising ranges from $838,864 to $2,306,875.
Keywords {🔍}
bmc, cookies, privacy, data, page, optional, content, personal, parties, policy, information, manage, cardiovascular, disorders, genes, article, contact, editing, authors, choice, essential, make, site, function, advertising, personalisation, usage, analysis, social, media, accepting, consent, processing, including, transfers, european, economic, area, varying, standards, protection, preferences, change, choices, accept, skip, main, advertisement, search, explore,
Topics {✒️}
authors scientific editing privacy choices/manage cookies relevant genes obtained bmc european economic area f1-score achieved state privacy rights accepting optional cookies 1471-2261 contact manage preferences personal data data protection optional cookies essential cookies cookies skip cookies policy privacy policy privacy statement usage analysis social media varying standards hypertrophic cardiomyopathy mrmr back general enquiries preference centre springer nature content choices privacy choice make site function advertising personalisation consent processing parties information change accept published integration svm rf knn read website agree terms
Schema {🗺️}
WebPage:
mainEntity:
headline:Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy
description:Hypertrophic cardiomyopathy (HCM) represents one of the most common inherited heart diseases. To identify key molecules involved in the development of HCM, gene expression patterns of the heart tissue samples in HCM patients from multiple microarray and RNA-seq platforms were investigated. The significant genes were obtained through the intersection of two gene sets, corresponding to the identified differentially expressed genes (DEGs) within the microarray data and within the RNA-Seq data. Those genes were further ranked using minimum-Redundancy Maximum-Relevance feature selection algorithm. Moreover, the genes were assessed by three different machine learning methods for classification, including support vector machines, random forest and k-Nearest Neighbor. Outstanding results were achieved by taking exclusively the top eight genes of the ranking into consideration. Since the eight genes were identified as candidate HCM hallmark genes, the interactions between them and known HCM disease genes were explored through the protein–protein interaction (PPI) network. Most candidate HCM hallmark genes were found to have direct or indirect interactions with known HCM diseases genes in the PPI network, particularly the hub genes JAK2 and GADD45A. This study highlights the transcriptomic data integration, in combination with machine learning methods, in providing insight into the key hallmark genes in the genetic etiology of HCM.
datePublished:2021-07-06T00:00:00Z
dateModified:2021-07-06T00:00:00Z
pageStart:1
pageEnd:10
license:http://creativecommons.org/publicdomain/zero/1.0/
sameAs:https://doi.org/10.1186/s12872-021-02147-7
keywords:
Hypertrophic cardiomyopathy
Microarray
RNA-Seq
Classification
JAK2
Cardiology
Cardiac Surgery
Angiology
Blood Transfusion Medicine
Internal Medicine
Medicine/Public Health
general
image:
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig1_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig2_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig3_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig4_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig5_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig6_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig7_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig8_HTML.png
isPartOf:
name:BMC Cardiovascular Disorders
issn:
1471-2261
volumeNumber:21
type:
Periodical
PublicationVolume
publisher:
name:BioMed Central
logo:
url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
type:ImageObject
type:Organization
author:
name:Jing Xu
affiliation:
name:Southeast University
address:
name:Department of Clinical Laboratory, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
type:Person
name:Xiangdong Liu
affiliation:
name:Southeast University
address:
name:Institute of Life Science, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
type:Person
name:Qiming Dai
affiliation:
name:Southeast University
address:
name:Department of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
email:[email protected]
type:Person
isAccessibleForFree:1
type:ScholarlyArticle
context:https://schema.org
ScholarlyArticle:
headline:Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy
description:Hypertrophic cardiomyopathy (HCM) represents one of the most common inherited heart diseases. To identify key molecules involved in the development of HCM, gene expression patterns of the heart tissue samples in HCM patients from multiple microarray and RNA-seq platforms were investigated. The significant genes were obtained through the intersection of two gene sets, corresponding to the identified differentially expressed genes (DEGs) within the microarray data and within the RNA-Seq data. Those genes were further ranked using minimum-Redundancy Maximum-Relevance feature selection algorithm. Moreover, the genes were assessed by three different machine learning methods for classification, including support vector machines, random forest and k-Nearest Neighbor. Outstanding results were achieved by taking exclusively the top eight genes of the ranking into consideration. Since the eight genes were identified as candidate HCM hallmark genes, the interactions between them and known HCM disease genes were explored through the protein–protein interaction (PPI) network. Most candidate HCM hallmark genes were found to have direct or indirect interactions with known HCM diseases genes in the PPI network, particularly the hub genes JAK2 and GADD45A. This study highlights the transcriptomic data integration, in combination with machine learning methods, in providing insight into the key hallmark genes in the genetic etiology of HCM.
datePublished:2021-07-06T00:00:00Z
dateModified:2021-07-06T00:00:00Z
pageStart:1
pageEnd:10
license:http://creativecommons.org/publicdomain/zero/1.0/
sameAs:https://doi.org/10.1186/s12872-021-02147-7
keywords:
Hypertrophic cardiomyopathy
Microarray
RNA-Seq
Classification
JAK2
Cardiology
Cardiac Surgery
Angiology
Blood Transfusion Medicine
Internal Medicine
Medicine/Public Health
general
image:
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig1_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig2_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig3_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig4_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig5_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig6_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig7_HTML.png
https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12872-021-02147-7/MediaObjects/12872_2021_2147_Fig8_HTML.png
isPartOf:
name:BMC Cardiovascular Disorders
issn:
1471-2261
volumeNumber:21
type:
Periodical
PublicationVolume
publisher:
name:BioMed Central
logo:
url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
type:ImageObject
type:Organization
author:
name:Jing Xu
affiliation:
name:Southeast University
address:
name:Department of Clinical Laboratory, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
type:Person
name:Xiangdong Liu
affiliation:
name:Southeast University
address:
name:Institute of Life Science, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
type:Person
name:Qiming Dai
affiliation:
name:Southeast University
address:
name:Department of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
email:[email protected]
type:Person
isAccessibleForFree:1
["Periodical","PublicationVolume"]:
name:BMC Cardiovascular Disorders
issn:
1471-2261
volumeNumber:21
Organization:
name:BioMed Central
logo:
url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
type:ImageObject
name:Southeast University
address:
name:Department of Clinical Laboratory, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
name:Southeast University
address:
name:Institute of Life Science, Southeast University, Nanjing, China
type:PostalAddress
name:Southeast University
address:
name:Department of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
ImageObject:
url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
name:Jing Xu
affiliation:
name:Southeast University
address:
name:Department of Clinical Laboratory, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
name:Xiangdong Liu
affiliation:
name:Southeast University
address:
name:Institute of Life Science, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
name:Qiming Dai
affiliation:
name:Southeast University
address:
name:Department of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China
type:PostalAddress
type:Organization
email:[email protected]
PostalAddress:
name:Department of Clinical Laboratory, ZhongDa Hospital, Southeast University, Nanjing, China
name:Institute of Life Science, Southeast University, Nanjing, China
name:Department of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China
External Links {🔗}(21)
- Financial intake of https://www.biomedcentral.com/privacy-statement
- How much income does https://www.biomedcentral.com have?
- Learn about the earnings of https://www.biomedcentral.com/journals
- What are the earnings of https://www.biomedcentral.com/getpublished?
- How much does https://www.biomedcentral.com/about earn?
- https://www.biomedcentral.com/account income
- How much does https://submission.nature.com/new-submission/12872/3 pull in?
- Monthly income for https://blogs.biomedcentral.com/
- Discover the revenue of https://www.biomedcentral.com/login
- How much does https://authorservices.springernature.com/go/sn/?utm_source=Website&utm_medium=BMC&utm_campaign=SNAS+Referrals+2022&utm_id=ref2022 generate monthly?
- How much does https://www.biomedcentral.com/about/policies net monthly?
- https://www.biomedcentral.com/accessibility's financial summary
- https://www.biomedcentral.com/about/press-centre's revenue stream
- How much does https://support.biomedcentral.com/support/home earn?
- https://biomedcentral.typeform.com/to/VLXboo income
- How much profit does https://www.biomedcentral.com/about/jobs make?
- How much revenue does http://www.weibo.com/biomedcentral generate?
- How much income is https://www.biomedcentral.com/terms-and-conditions earning monthly?
- How much revenue does https://www.springernature.com/ccpa bring in?
- Monthly income for https://www.biomedcentral.com/cookies
- How much does https://www.springernature.com bring in each month?
Analytics and Tracking {📊}
- Google Tag Manager
Libraries {📚}
- Prism.js