{"id":"https://openalex.org/W2061089710","doi":"https://doi.org/10.1109/grc.2008.4664722","title":"Mining human mitochondrial and mitochondrial associated proteins based on SVM and neural network","display_name":"Mining human mitochondrial and mitochondrial associated proteins based on SVM and neural network","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2061089710","doi":"https://doi.org/10.1109/grc.2008.4664722","mag":"2061089710"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2008.4664722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2008.4664722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100357446","display_name":"Guangrong Li","orcid":"https://orcid.org/0000-0002-8425-0212"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrong Li","raw_affiliation_strings":["College of Accounting, Hunan University, Changsha, China","School of Computer, Wuhan University of China, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Accounting, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Computer, Wuhan University of China, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101951121","display_name":"Zhong Huang","orcid":"https://orcid.org/0000-0002-8282-223X"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Huang","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036386349","display_name":"Jiali Xia","orcid":"https://orcid.org/0009-0008-9755-0186"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Xia","raw_affiliation_strings":["UFSoft School of Software, Jiangxi University of Finance and Economics, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFSoft School of Software, Jiangxi University of Finance and Economics, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033986013","display_name":"Caimei Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caimei Lu","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7546798586845398},{"id":"https://openalex.org/keywords/pseudo-amino-acid-composition","display_name":"Pseudo amino acid composition","score":0.7332354784011841},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6843917369842529},{"id":"https://openalex.org/keywords/mitochondrion","display_name":"Mitochondrion","score":0.6378544569015503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5963989496231079},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5447259545326233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5025854110717773},{"id":"https://openalex.org/keywords/amino-acid","display_name":"Amino acid","score":0.5013189315795898},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4775605797767639},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.46735528111457825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4670259952545166},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4016793370246887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38080301880836487},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.33446991443634033},{"id":"https://openalex.org/keywords/dipeptide","display_name":"Dipeptide","score":0.29752615094184875},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11542904376983643}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7546798586845398},{"id":"https://openalex.org/C2780362125","wikidata":"https://www.wikidata.org/wiki/Q7254464","display_name":"Pseudo amino acid composition","level":4,"score":0.7332354784011841},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6843917369842529},{"id":"https://openalex.org/C28859421","wikidata":"https://www.wikidata.org/wiki/Q39572","display_name":"Mitochondrion","level":2,"score":0.6378544569015503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5963989496231079},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5447259545326233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5025854110717773},{"id":"https://openalex.org/C515207424","wikidata":"https://www.wikidata.org/wiki/Q8066","display_name":"Amino acid","level":2,"score":0.5013189315795898},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4775605797767639},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.46735528111457825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4670259952545166},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4016793370246887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38080301880836487},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.33446991443634033},{"id":"https://openalex.org/C2779138802","wikidata":"https://www.wikidata.org/wiki/Q418602","display_name":"Dipeptide","level":3,"score":0.29752615094184875},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11542904376983643}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2008.4664722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2008.4664722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1566376227","https://openalex.org/W2056097202","https://openalex.org/W2077307563","https://openalex.org/W2115998090","https://openalex.org/W2152458080","https://openalex.org/W2154916254","https://openalex.org/W2170003281"],"related_works":["https://openalex.org/W2163884975","https://openalex.org/W2802989292","https://openalex.org/W2090763504","https://openalex.org/W1996989509","https://openalex.org/W2784083480","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2362489261"],"abstract_inverted_index":{"Human":[0],"mitochondrial":[1,19],"proteins":[2,20,50,60,67],"are":[3],"involved":[4],"in":[5,25,69,132],"fundamental":[6],"biological":[7],"process":[8],"including":[9],"apoptosis,":[10],"energy":[11],"production":[12],"and":[13,37,42,65,84,110],"many":[14],"metabolic":[15],"pathways,":[16],"prediction":[17],"of":[18,100],"is":[21,150],"a":[22,33,97,151],"major":[23],"challenge":[24],"genome":[26],"annotation.":[27],"In":[28,88],"this":[29],"study,":[30],"we":[31,90],"implemented":[32],"machine":[34],"learning":[35],"approach":[36,142],"developed":[38],"reliable":[39],"neural":[40,77,126],"network":[41,86,127],"SVM":[43,131],"based":[44],"methods":[45],"to":[46],"classify":[47],"human":[48,58,66,146,156],"mitochondria":[49,59,147,157],"with":[51],"high":[52],"confidence.":[53],"We":[54,137],"used":[55],"experimentally":[56],"characterized":[57,145],"as":[61,72],"positive":[62],"training":[63,74,135],"datasets":[64,75],"localized":[68],"other":[70],"organelles":[71],"negative":[73],"for":[76,154],"network,":[78],"support":[79],"vector":[80],"machine,":[81],"na\u00efve":[82],"bayes":[83,85],"classification.":[87],"addition,":[89],"constructed":[91],"simple":[92,101],"amino":[93,102,106,112],"acid":[94,103,107,113],"composition":[95,104,114],"model,":[96],"hybrid":[98],"model":[99],"combining":[105],"chemical-physical":[108],"properties,":[109],"dipeptide":[111],"model.":[115],"With":[116],"5":[117],"fold":[118],"cross-validations,":[119],"the":[120],"results":[121],"demonstrate":[122],"that":[123,139],"multiple":[124],"perceptrone":[125],"performs":[128],"better":[129],"than":[130],"all":[133],"three":[134],"models.":[136],"concluded":[138],"our":[140],"classification":[141],"utilizing":[143],"empirically":[144],"protein":[148],"sequences":[149],"valuable":[152],"tool":[153],"classifying":[155],"proteins.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
