Loading…
Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis
The accuracy of methods based on power spectrum analysis depends on the threshold that is used to discriminate the coding and non-coding sequences. Due to gene structural differences of different organisms, we inferred that there is an optimal gene prediction threshold for each organism. To prove th...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 4 |
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Shanglei Xu Nini Rao Xi Chen Guangxiong Liu Yunheng Wang |
description | The accuracy of methods based on power spectrum analysis depends on the threshold that is used to discriminate the coding and non-coding sequences. Due to gene structural differences of different organisms, we inferred that there is an optimal gene prediction threshold for each organism. To prove this, we analyzed real biological data, and found that there are indeed different optimal thresholds for different organisms when the methods based on power spectrum analysis are used to predict genes. |
doi_str_mv | 10.1109/ICOSP.2010.5656377 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_5656377</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5656377</ieee_id><sourcerecordid>5656377</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-258897d40d3433203c15afb60e420b771d2eea4615275e4a143fc7d9474200f03</originalsourceid><addsrcrecordid>eNpVUMtOwzAQNAIkqtIfgIt_IMXPOD5WEY9KlYpE75Vjr6khTSI7Eerf44pe2MtqZvYxuwg9ULKklOindb39eF8ykrEsZcmVukILrSoqmBCy0rq6_oeVuEEzRktRSMboHVqk9EVySKaYLmfoe9WZ9pRCwr3H4yFCOvStw6Hz7QSdBdx3mQZsrJ2isadz2Sd0UAwRXLBjyPoRxkPvEm5MAnduGPofiDgNYMc4HbG5rLhHt960CRaXPEe7l-dd_VZstq_rerUpgiZjwWSVbTtBHBecM8ItlcY3JQHBSKMUdQzAiJLmEyQIQwX3VjktVNaJJ3yOHv_GBgDYDzEcTTztL9_iv1MJXG8</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis</title><source>IEEE Xplore All Conference Series</source><creator>Shanglei Xu ; Nini Rao ; Xi Chen ; Guangxiong Liu ; Yunheng Wang</creator><creatorcontrib>Shanglei Xu ; Nini Rao ; Xi Chen ; Guangxiong Liu ; Yunheng Wang</creatorcontrib><description>The accuracy of methods based on power spectrum analysis depends on the threshold that is used to discriminate the coding and non-coding sequences. Due to gene structural differences of different organisms, we inferred that there is an optimal gene prediction threshold for each organism. To prove this, we analyzed real biological data, and found that there are indeed different optimal thresholds for different organisms when the methods based on power spectrum analysis are used to predict genes.</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 9781424458974</identifier><identifier>ISBN: 1424458978</identifier><identifier>EISBN: 9781424458998</identifier><identifier>EISBN: 9781424459001</identifier><identifier>EISBN: 1424459001</identifier><identifier>EISBN: 1424458994</identifier><identifier>DOI: 10.1109/ICOSP.2010.5656377</identifier><language>eng</language><publisher>IEEE</publisher><subject>A ver age periodogram ; Accuracy ; Bioinformatics ; DNA ; Encoding ; gene prediction ; Organisms ; power spectrum analysis ; Proteins ; Spectral analysis ; threshold</subject><ispartof>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5656377$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5656377$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shanglei Xu</creatorcontrib><creatorcontrib>Nini Rao</creatorcontrib><creatorcontrib>Xi Chen</creatorcontrib><creatorcontrib>Guangxiong Liu</creatorcontrib><creatorcontrib>Yunheng Wang</creatorcontrib><title>Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis</title><title>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS</title><addtitle>ICOSP</addtitle><description>The accuracy of methods based on power spectrum analysis depends on the threshold that is used to discriminate the coding and non-coding sequences. Due to gene structural differences of different organisms, we inferred that there is an optimal gene prediction threshold for each organism. To prove this, we analyzed real biological data, and found that there are indeed different optimal thresholds for different organisms when the methods based on power spectrum analysis are used to predict genes.</description><subject>A ver age periodogram</subject><subject>Accuracy</subject><subject>Bioinformatics</subject><subject>DNA</subject><subject>Encoding</subject><subject>gene prediction</subject><subject>Organisms</subject><subject>power spectrum analysis</subject><subject>Proteins</subject><subject>Spectral analysis</subject><subject>threshold</subject><issn>2164-5221</issn><isbn>9781424458974</isbn><isbn>1424458978</isbn><isbn>9781424458998</isbn><isbn>9781424459001</isbn><isbn>1424459001</isbn><isbn>1424458994</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVUMtOwzAQNAIkqtIfgIt_IMXPOD5WEY9KlYpE75Vjr6khTSI7Eerf44pe2MtqZvYxuwg9ULKklOindb39eF8ykrEsZcmVukILrSoqmBCy0rq6_oeVuEEzRktRSMboHVqk9EVySKaYLmfoe9WZ9pRCwr3H4yFCOvStw6Hz7QSdBdx3mQZsrJ2isadz2Sd0UAwRXLBjyPoRxkPvEm5MAnduGPofiDgNYMc4HbG5rLhHt960CRaXPEe7l-dd_VZstq_rerUpgiZjwWSVbTtBHBecM8ItlcY3JQHBSKMUdQzAiJLmEyQIQwX3VjktVNaJJ3yOHv_GBgDYDzEcTTztL9_iv1MJXG8</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Shanglei Xu</creator><creator>Nini Rao</creator><creator>Xi Chen</creator><creator>Guangxiong Liu</creator><creator>Yunheng Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis</title><author>Shanglei Xu ; Nini Rao ; Xi Chen ; Guangxiong Liu ; Yunheng Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-258897d40d3433203c15afb60e420b771d2eea4615275e4a143fc7d9474200f03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>A ver age periodogram</topic><topic>Accuracy</topic><topic>Bioinformatics</topic><topic>DNA</topic><topic>Encoding</topic><topic>gene prediction</topic><topic>Organisms</topic><topic>power spectrum analysis</topic><topic>Proteins</topic><topic>Spectral analysis</topic><topic>threshold</topic><toplevel>online_resources</toplevel><creatorcontrib>Shanglei Xu</creatorcontrib><creatorcontrib>Nini Rao</creatorcontrib><creatorcontrib>Xi Chen</creatorcontrib><creatorcontrib>Guangxiong Liu</creatorcontrib><creatorcontrib>Yunheng Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shanglei Xu</au><au>Nini Rao</au><au>Xi Chen</au><au>Guangxiong Liu</au><au>Yunheng Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis</atitle><btitle>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS</btitle><stitle>ICOSP</stitle><date>2010-10</date><risdate>2010</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2164-5221</issn><isbn>9781424458974</isbn><isbn>1424458978</isbn><eisbn>9781424458998</eisbn><eisbn>9781424459001</eisbn><eisbn>1424459001</eisbn><eisbn>1424458994</eisbn><abstract>The accuracy of methods based on power spectrum analysis depends on the threshold that is used to discriminate the coding and non-coding sequences. Due to gene structural differences of different organisms, we inferred that there is an optimal gene prediction threshold for each organism. To prove this, we analyzed real biological data, and found that there are indeed different optimal thresholds for different organisms when the methods based on power spectrum analysis are used to predict genes.</abstract><pub>IEEE</pub><doi>10.1109/ICOSP.2010.5656377</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2164-5221 |
ispartof | IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010, p.1-4 |
issn | 2164-5221 |
language | eng |
recordid | cdi_ieee_primary_5656377 |
source | IEEE Xplore All Conference Series |
subjects | A ver age periodogram Accuracy Bioinformatics DNA Encoding gene prediction Organisms power spectrum analysis Proteins Spectral analysis threshold |
title | Analysis of threshold influence on the accuracy of gene-prediction methods based on power spectrum analysis |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A01%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Analysis%20of%20threshold%20influence%20on%20the%20accuracy%20of%20gene-prediction%20methods%20based%20on%20power%20spectrum%20analysis&rft.btitle=IEEE%2010th%20INTERNATIONAL%20CONFERENCE%20ON%20SIGNAL%20PROCESSING%20PROCEEDINGS&rft.au=Shanglei%20Xu&rft.date=2010-10&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=2164-5221&rft.isbn=9781424458974&rft.isbn_list=1424458978&rft_id=info:doi/10.1109/ICOSP.2010.5656377&rft.eisbn=9781424458998&rft.eisbn_list=9781424459001&rft.eisbn_list=1424459001&rft.eisbn_list=1424458994&rft_dat=%3Cieee_CHZPO%3E5656377%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-258897d40d3433203c15afb60e420b771d2eea4615275e4a143fc7d9474200f03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5656377&rfr_iscdi=true |