{"id":"https://openalex.org/W1562505588","doi":"https://doi.org/10.1109/cmpsac.2004.1342695","title":"A method based on improved Bayesian inference network model and hidden Markov model for prediction of protein secondary structure","display_name":"A method based on improved Bayesian inference network model and hidden Markov model for prediction of protein secondary structure","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W1562505588","doi":"https://doi.org/10.1109/cmpsac.2004.1342695","mag":"1562505588"},"language":"en","primary_location":{"id":"doi:10.1109/cmpsac.2004.1342695","is_oa":false,"landing_page_url":"http://doi.org/10.1109/cmpsac.2004.1342695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","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":null,"display_name":"Gouhui Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gouhui Yang","raw_affiliation_strings":["[School of Computer Science and Technology, Jilin University, Changchun, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[School of Computer Science and Technology, Jilin University, Changchun, China]","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079746101","display_name":"Chunguang Zhou","orcid":"https://orcid.org/0000-0002-5269-2526"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguang Zhou","raw_affiliation_strings":["[School of Computer Science and Technology, Jilin University, Changchun, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[School of Computer Science and Technology, Jilin University, Changchun, China]","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579577","display_name":"Chengquan Hu","orcid":"https://orcid.org/0000-0002-2696-492X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengquan Hu","raw_affiliation_strings":["[School of Computer Science and Technology, Jilin University, Changchun, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[School of Computer Science and Technology, Jilin University, Changchun, China]","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635626","display_name":"Zhezhou Yu","orcid":"https://orcid.org/0000-0003-1758-632X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhezhou Yu","raw_affiliation_strings":["[School of Computer Science and Technology, Jilin University, Changchun, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[School of Computer Science and Technology, Jilin University, Changchun, China]","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103561888","display_name":"Hongji Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongji Yang","raw_affiliation_strings":["De-Montfort University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De-Montfort University","institution_ids":["https://openalex.org/I66943878"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":"2","issue":null,"first_page":"134","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9991000294685364,"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":0.9991000294685364,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8028498888015747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685519278049469},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.6387078762054443},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5951773524284363},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5943567752838135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5818971991539001},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5227213501930237},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5086137056350708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5053291916847229},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44562965631484985},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.4357713758945465},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4181489944458008},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.36347347497940063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379283845424652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33517444133758545},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.29669445753097534}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8028498888015747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685519278049469},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.6387078762054443},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5951773524284363},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5943567752838135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5818971991539001},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5227213501930237},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5086137056350708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5053291916847229},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44562965631484985},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.4357713758945465},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4181489944458008},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.36347347497940063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379283845424652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33517444133758545},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.29669445753097534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cmpsac.2004.1342695","is_oa":false,"landing_page_url":"http://doi.org/10.1109/cmpsac.2004.1342695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1583702242","https://openalex.org/W2002272439","https://openalex.org/W2057289558","https://openalex.org/W2134299061","https://openalex.org/W2139582206","https://openalex.org/W2147805410","https://openalex.org/W2170471837","https://openalex.org/W2611400920","https://openalex.org/W4230638849","https://openalex.org/W4285719527","https://openalex.org/W4301445155"],"related_works":["https://openalex.org/W2383034311","https://openalex.org/W2592745513","https://openalex.org/W643788828","https://openalex.org/W2391701421","https://openalex.org/W2963184928","https://openalex.org/W2215058820","https://openalex.org/W2564827943","https://openalex.org/W2366931106","https://openalex.org/W2048052024","https://openalex.org/W4385889111"],"abstract_inverted_index":{"This":[0],"work":[1],"aims":[2],"at":[3],"predicting":[4,40,62],"the":[5,44,74],"secondary":[6,41,64],"structure":[7,42],"of":[8,34,43,61,73],"proteins,":[9],"which":[10,21],"is":[11],"a":[12],"complex":[13],"nonlinear-mode":[14],"classified":[15],"problem.":[16],"It":[17,29],"proposes":[18],"an":[19,59],"algorithm":[20,60],"synchronises":[22],"Bayesian":[23],"network":[24,51,55],"and":[25,54,71],"hidden":[26],"Markov":[27],"model.":[28],"refers":[30],"more":[31],"neighbouring":[32],"information":[33],"amino":[35],"acid":[36],"residue":[37],"sequences":[38],"for":[39],"protein.":[45],"Moreover":[46],"it":[47],"discusses":[48],"data":[49],"selection,":[50],"parameter":[52],"determination":[53],"performance":[56],"in":[57],"searching":[58],"protein":[63],"structure.":[65],"The":[66],"experimental":[67],"results":[68],"show":[69],"feasibility":[70],"validity":[72],"algorithm.":[75]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
