{"id":"https://openalex.org/W2017722792","doi":"https://doi.org/10.1109/bmei.2011.6098588","title":"Gene prediction in metagenomic fragments based on the SVM algorithm","display_name":"Gene prediction in metagenomic fragments based on the SVM algorithm","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2017722792","doi":"https://doi.org/10.1109/bmei.2011.6098588","mag":"2017722792"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"},"type":"article","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/A5042519184","display_name":"Liu Yong-chu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongchu Liu","raw_affiliation_strings":["Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083030362","display_name":"Jiangtao Guo","orcid":"https://orcid.org/0000-0003-2886-7047"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Guo","raw_affiliation_strings":["Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060533782","display_name":"Huaiqiu Zhu","orcid":"https://orcid.org/0000-0002-6376-218X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiqiu Zhu","raw_affiliation_strings":["Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center of Theoretical Biology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Department of Biomedical Engineering, College of Engineering, Center for Theoretical Biology, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042519184"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.0788605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"4","issue":null,"first_page":"1738","last_page":"1742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.998199999332428,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.998199999332428,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.98580002784729,"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/T10141","display_name":"Probiotics and Fermented Foods","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metagenomics","display_name":"Metagenomics","score":0.8761612176895142},{"id":"https://openalex.org/keywords/gene-prediction","display_name":"Gene prediction","score":0.7417100071907043},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6227562427520752},{"id":"https://openalex.org/keywords/shotgun-sequencing","display_name":"Shotgun sequencing","score":0.6115885972976685},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.5675279498100281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614322423934937},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4692385494709015},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.45165833830833435},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4510183334350586},{"id":"https://openalex.org/keywords/shotgun","display_name":"Shotgun","score":0.45050764083862305},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.44279342889785767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4388728141784668},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41628628969192505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36881476640701294},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3380536735057831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255802392959595},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2243354320526123}],"concepts":[{"id":"https://openalex.org/C15151743","wikidata":"https://www.wikidata.org/wiki/Q903778","display_name":"Metagenomics","level":3,"score":0.8761612176895142},{"id":"https://openalex.org/C105565629","wikidata":"https://www.wikidata.org/wiki/Q1248292","display_name":"Gene prediction","level":4,"score":0.7417100071907043},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6227562427520752},{"id":"https://openalex.org/C101985253","wikidata":"https://www.wikidata.org/wiki/Q1073526","display_name":"Shotgun sequencing","level":4,"score":0.6115885972976685},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.5675279498100281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614322423934937},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4692385494709015},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.45165833830833435},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4510183334350586},{"id":"https://openalex.org/C2781434637","wikidata":"https://www.wikidata.org/wiki/Q486396","display_name":"Shotgun","level":3,"score":0.45050764083862305},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.44279342889785767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4388728141784668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41628628969192505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36881476640701294},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3380536735057831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255802392959595},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2243354320526123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1528914253","https://openalex.org/W1548034686","https://openalex.org/W1873623553","https://openalex.org/W1970684977","https://openalex.org/W1981194976","https://openalex.org/W1989825955","https://openalex.org/W2006465310","https://openalex.org/W2015257446","https://openalex.org/W2031207772","https://openalex.org/W2033705779","https://openalex.org/W2035333716","https://openalex.org/W2042573466","https://openalex.org/W2048673910","https://openalex.org/W2048818637","https://openalex.org/W2053150867","https://openalex.org/W2055503200","https://openalex.org/W2057605528","https://openalex.org/W2061943918","https://openalex.org/W2069689025","https://openalex.org/W2073578638","https://openalex.org/W2081135506","https://openalex.org/W2091560728","https://openalex.org/W2099006507","https://openalex.org/W2105199251","https://openalex.org/W2106090237","https://openalex.org/W2113601822","https://openalex.org/W2114956488","https://openalex.org/W2124637227","https://openalex.org/W2125826054","https://openalex.org/W2126193532","https://openalex.org/W2126809954","https://openalex.org/W2127415562","https://openalex.org/W2130291362","https://openalex.org/W2133253129","https://openalex.org/W2140320695","https://openalex.org/W2140960177","https://openalex.org/W2141885858","https://openalex.org/W2143074195","https://openalex.org/W2143485490","https://openalex.org/W2145336165","https://openalex.org/W2147378425","https://openalex.org/W2152705149","https://openalex.org/W2152941751","https://openalex.org/W2153635508","https://openalex.org/W2154969423","https://openalex.org/W2156701707","https://openalex.org/W2161794223","https://openalex.org/W2162704968","https://openalex.org/W2163023575","https://openalex.org/W2168330474","https://openalex.org/W2171942267","https://openalex.org/W2181588645","https://openalex.org/W2914081640","https://openalex.org/W3120421331","https://openalex.org/W4210623056"],"related_works":["https://openalex.org/W4210312276","https://openalex.org/W2417514914","https://openalex.org/W4389452281","https://openalex.org/W4238948313","https://openalex.org/W3043668926","https://openalex.org/W3036436206","https://openalex.org/W3194449900","https://openalex.org/W3111832393","https://openalex.org/W4321764688","https://openalex.org/W4226340145"],"abstract_inverted_index":{"Metagenomic":[0],"sequencing":[1],"is":[2,23,45,72],"becoming":[3],"a":[4,62,90,97,102,136,141],"powerful":[5],"method":[6,151],"to":[7,66,173,183],"explore":[8],"various":[9],"environmental":[10],"organisms":[11],"without":[12],"isolation":[13],"and":[14,41,51,70,101,118,140],"cultivation.":[15],"Genomic":[16],"sequences":[17,58,131],"data":[18],"generated":[19],"by":[20],"this":[21],"technology":[22],"growing":[24],"explosively":[25],"while":[26],"numerous":[27],"computational":[28],"methods":[29],"for":[30,123],"analysis":[31],"are":[32,169],"still":[33],"urgently":[34],"in":[35,84],"need.":[36],"One":[37],"of":[38,56,111,132,138,143,160,166],"the":[39,79,153,158,190],"first":[40],"most":[42,191],"important":[43],"processes":[44],"exhaustive":[46],"gene":[47,162,185],"prediction.":[48],"As":[49],"short":[50],"anonymous":[52],"DNA":[53],"fragments,":[54],"assembly":[55],"metagenomic":[57,175],"usually":[59],"has":[60,152],"not":[61,74],"fixed":[63],"end":[64],"point":[65],"obtain":[67],"complete":[68,85],"genomes":[69],"moreover":[71],"often":[73],"available.":[75],"This":[76],"situation":[77],"makes":[78],"annotation":[80],"more":[81],"complicated":[82],"than":[83,157],"genomes.":[86],"Here,":[87],"we":[88],"present":[89],"newly":[91],"developed":[92],"SVM-based":[93],"algorithm":[94,188],"which":[95,147],"comprises":[96],"supervised":[98],"universal":[99],"model":[100,124],"data-specific":[103],"novel":[104,193],"model.":[105],"It":[106],"utilizes":[107],"entropy":[108],"density":[109],"profiles":[110],"codon":[112],"usage,":[113],"translation":[114],"initiation":[115],"signal":[116],"scoring":[117],"open":[119],"read":[120],"frame":[121],"length":[122],"training.":[125],"Tests":[126],"on":[127,145],"fixed-length":[128],"artificial":[129],"shotgun":[130],"700":[133],"bp":[134],"showed":[135],"sensitivity":[137],"94.7%":[139],"specificity":[142],"94.9%":[144],"average,":[146],"indicate":[148],"that":[149],"our":[150,187],"totally":[154],"higher":[155],"performance":[156],"best":[159],"current":[161],"prediction":[163],"methods.":[164],"Thousands":[165],"additional":[167],"genes":[168],"predicted":[170],"when":[171],"applied":[172],"two":[174],"samples":[176],"from":[177],"human":[178],"gut":[179],"community.":[180],"Furthermore,":[181],"compared":[182],"other":[184],"predictors,":[186],"predicts":[189],"potential":[192],"genes.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
