{"id":"https://openalex.org/W2086997424","doi":"https://doi.org/10.1145/1854776.1854846","title":"Genomics information retrieval using a Bayesian model for learning and re-ranking","display_name":"Genomics information retrieval using a Bayesian model for learning and re-ranking","publication_year":2010,"publication_date":"2010-08-02","ids":{"openalex":"https://openalex.org/W2086997424","doi":"https://doi.org/10.1145/1854776.1854846","mag":"2086997424"},"language":"en","primary_location":{"id":"doi:10.1145/1854776.1854846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","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/A5018749138","display_name":"Qinmin Hu","orcid":"https://orcid.org/0000-0003-0561-1284"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qinmin Vivian Hu","raw_affiliation_strings":["York University, Toronto, Canada","York University, Toronto,Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University, Toronto,Canada#TAB#","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiangji Jimmy Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiangji Jimmy Huang","raw_affiliation_strings":["York University, Toronto, Canada","York University, Toronto,Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University, Toronto,Canada#TAB#","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19859869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.7491262555122375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305071353912354},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.5868315696716309},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.5830065011978149},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.564301073551178},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5585771799087524},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5493867993354797},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.4909861385822296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4897499084472656},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4833378493785858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4431873559951782},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40261733531951904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11276867985725403},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.077911376953125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07054996490478516},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.0694185197353363},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06660401821136475}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7491262555122375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305071353912354},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.5868315696716309},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.5830065011978149},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.564301073551178},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5585771799087524},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5493867993354797},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.4909861385822296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4897499084472656},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4833378493785858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4431873559951782},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40261733531951904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11276867985725403},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.077911376953125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07054996490478516},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.0694185197353363},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06660401821136475},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1854776.1854846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1514701801","https://openalex.org/W2014415866","https://openalex.org/W2040641513","https://openalex.org/W2050925949","https://openalex.org/W2054145206","https://openalex.org/W2060816264","https://openalex.org/W2123273303","https://openalex.org/W2164029581","https://openalex.org/W2915796703","https://openalex.org/W6678356393","https://openalex.org/W6678905673"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W1982788967","https://openalex.org/W4324123865","https://openalex.org/W2786287312","https://openalex.org/W4237517023","https://openalex.org/W2933707278","https://openalex.org/W3198935159"],"abstract_inverted_index":{"The":[0,100],"use":[1],"of":[2,47,77,106],"large-scale":[3],"experimental":[4,101],"techniques":[5],"and":[6,29,60,95,123],"biomedical":[7],"tools":[8],"has":[9],"increased":[10],"the":[11,45,57,67,75,78,92,104,107,121],"pace":[12],"at":[13],"which":[14],"biologists":[15],"produce":[16],"useful":[17],"information.":[18],"This":[19],"promotes":[20],"us":[21],"to":[22,31,65,74],"propose":[23],"a":[24,40,53],"Bayesian":[25],"model":[26,42,86,109],"for":[27,43,70,110],"learning":[28],"re-ranking":[30],"boost":[32],"genomics":[33],"information":[34],"retrieval":[35],"performance.":[36],"We":[37],"first":[38],"describe":[39],"general":[41],"discovering":[44],"property":[46],"each":[48],"passage.":[49],"Then,":[50],"we":[51,82],"examine":[52],"Bernoulli":[54,79],"distribution":[55,59],"as":[56],"prior":[58],"provide":[61],"an":[62],"efficient":[63],"way":[64],"obtain":[66],"training":[68],"passages":[69],"parameter":[71],"estimation,":[72],"according":[73],"characterizations":[76],"distribution.":[80],"Later,":[81],"evaluate":[83],"our":[84],"proposed":[85,108],"by":[87],"conducting":[88],"extensive":[89],"experiments":[90],"on":[91,113],"TREC":[93,116],"2007":[94],"2006":[96],"Genomics":[97,117],"data":[98,118],"sets.":[99,119],"results":[102],"show":[103],"effectiveness":[105],"improving":[111],"performance":[112],"two":[114],"years'":[115],"Furthermore,":[120],"conclusions":[122],"future":[124],"prospects":[125],"are":[126],"also":[127],"discussed.":[128]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}