schliessen

Filtern

 

Bibliotheken

A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes

Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity... Full description

Journal Title: PLoS ONE 01 January 2016, Vol.11(4), p.e0153006
Main Author: Jing Jiang
Other Authors: Wan Li , Binhua Liang , Ruiqiang Xie , Binbin Chen , Hao Huang , Yiran Li , Yuehan He , Junjie Lv , Weiming He , Lina Chen
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0153006
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: doaj_soai_doaj_org_article_88f98f13b6cf43d787c77b6717f5df68
title: A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
format: Article
creator:
  • Jing Jiang
  • Wan Li
  • Binhua Liang
  • Ruiqiang Xie
  • Binbin Chen
  • Hao Huang
  • Yiran Li
  • Yuehan He
  • Junjie Lv
  • Weiming He
  • Lina Chen
subjects:
  • Sciences (General)
ispartof: PLoS ONE, 01 January 2016, Vol.11(4), p.e0153006
description: Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity scores to prioritize candidate genes underling VTE. The scores were calculated by integrating and optimizing three types of resources including gene expression, gene ontology and protein-protein interaction. As a result, 124 out of top 200 prioritized candidate genes had been confirmed in literature, among which there were 34 antithrombotic drug targets. Compared with two well-known gene prioritization tools Endeavour and ToppNet, FIP was shown to have better performance. The approach provides a valuable alternative for drug targets discovery and disease therapy.
language: eng
source:
identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0153006
fulltext: fulltext_linktorsrc
issn:
  • 1932-6203
  • 19326203
url: Link


@attributes
ID195827136
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordidoai_doaj_org_article_88f98f13b6cf43d787c77b6717f5df68
sourceiddoaj_s
recordidTN_doaj_soai_doaj_org_article_88f98f13b6cf43d787c77b6717f5df68
sourcesystemPC
dbidDOA
pqid1779882669
galeid453452009
display
typearticle
titleA Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
creatorJing Jiang ; Wan Li ; Binhua Liang ; Ruiqiang Xie ; Binbin Chen ; Hao Huang ; Yiran Li ; Yuehan He ; Junjie Lv ; Weiming He ; Lina Chen
ispartofPLoS ONE, 01 January 2016, Vol.11(4), p.e0153006
identifierE-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0153006
subjectSciences (General)
languageeng
oafree_for_read
source
descriptionIdentifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity scores to prioritize candidate genes underling VTE. The scores were calculated by integrating and optimizing three types of resources including gene expression, gene ontology and protein-protein interaction. As a result, 124 out of top 200 prioritized candidate genes had been confirmed in literature, among which there were 34 antithrombotic drug targets. Compared with two well-known gene prioritization tools Endeavour and ToppNet, FIP was shown to have better performance. The approach provides a valuable alternative for drug targets discovery and disease therapy.
version9
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
linktorsrc$$Uhttps://doaj.org/article/88f98f13b6cf43d787c77b6717f5df68$$EView_full_text_in_DOAJ
search
creatorcontrib
0Jing Jiang
1Wan Li
2Binhua Liang
3Ruiqiang Xie
4Binbin Chen
5Hao Huang
6Yiran Li
7Yuehan He
8Junjie Lv
9Weiming He
10Lina Chen
titleA Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
description

Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity scores to prioritize candidate genes underling VTE. The scores were calculated by integrating and optimizing three types of resources including gene expression, gene ontology and protein-protein interaction. As a result, 124 out of top 200 prioritized candidate genes had been confirmed in literature, among which there were 34 antithrombotic drug targets. Compared with two well-known gene prioritization tools Endeavour and ToppNet, FIP was shown to have better performance. The approach provides a valuable alternative for drug targets discovery and disease therapy.

subjectSciences (General)
general
0English
1Public Library of Science (PLoS)
210.1371/journal.pone.0153006
3Directory of Open Access Journals (DOAJ)
sourceiddoaj_s
recordiddoaj_soai_doaj_org_article_88f98f13b6cf43d787c77b6717f5df68
issn
01932-6203
119326203
rsrctypearticle
creationdate2016
addtitlePLoS ONE
searchscope
0doaj_full
1doaj1
scope
0doaj_full
1doaj1
lsr45$$EView_full_text_in_DOAJ
tmp01Directory of Open Access Journals (DOAJ)
tmp02DOA
startdate20160101
enddate20160101
lsr40PLoS ONE, 01 January 2016, Vol.11 (4), p.e0153006
doi10.1371/journal.pone.0153006
citationpf e0153006 vol 11 issue 4
lsr30VSR-Enriched:[description, pages, pqid, galeid]
sort
titleA Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
authorJing Jiang ; Wan Li ; Binhua Liang ; Ruiqiang Xie ; Binbin Chen ; Hao Huang ; Yiran Li ; Yuehan He ; Junjie Lv ; Weiming He ; Lina Chen
creationdate20160101
lso0120160101
facets
frbrgroupid8898998977990579536
frbrtype5
newrecords20200226
languageeng
topicSciences (General)
collectionDirectory of Open Access Journals (DOAJ)
prefilterarticles
rsrctypearticles
creatorcontrib
0Jing Jiang
1Wan Li
2Binhua Liang
3Ruiqiang Xie
4Binbin Chen
5Hao Huang
6Yiran Li
7Yuehan He
8Junjie Lv
9Weiming He
10Lina Chen
jtitlePLoS ONE
creationdate2016
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext_linktorsrc
addata
au
0Jing Jiang
1Wan Li
2Binhua Liang
3Ruiqiang Xie
4Binbin Chen
5Hao Huang
6Yiran Li
7Yuehan He
8Junjie Lv
9Weiming He
10Lina Chen
atitleA Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
jtitlePLoS ONE
risdate20160101
volume11
issue4
spagee0153006
eissn1932-6203
formatjournal
genrearticle
ristypeJOUR
abstract

Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity scores to prioritize candidate genes underling VTE. The scores were calculated by integrating and optimizing three types of resources including gene expression, gene ontology and protein-protein interaction. As a result, 124 out of top 200 prioritized candidate genes had been confirmed in literature, among which there were 34 antithrombotic drug targets. Compared with two well-known gene prioritization tools Endeavour and ToppNet, FIP was shown to have better performance. The approach provides a valuable alternative for drug targets discovery and disease therapy.

pubPublic Library of Science (PLoS)
doi10.1371/journal.pone.0153006
urlhttps://doaj.org/article/88f98f13b6cf43d787c77b6717f5df68
lad01PLoS ONE
oafree_for_read
pagese0153006
date2016-01-01