{"id":"https://openalex.org/W2083055383","doi":"https://doi.org/10.1109/bibe.2013.6701663","title":"Impacts of the different spline orders on the B-spline association estimator","display_name":"Impacts of the different spline orders on the B-spline association estimator","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2083055383","doi":"https://doi.org/10.1109/bibe.2013.6701663","mag":"2083055383"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2013.6701663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2013.6701663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th IEEE International Conference on BioInformatics and BioEngineering","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/A5089781839","display_name":"Zeyneb Kurt","orcid":"https://orcid.org/0000-0003-3186-8091"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Zeyneb Kurt","raw_affiliation_strings":["Department of Computer Engineering at Yildiz Technical University, Istanbul, Turkey","Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering at Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015969726","display_name":"Nizamettin Ayd\u0131n","orcid":"https://orcid.org/0000-0003-0022-2247"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nizamettin Aydin","raw_affiliation_strings":["Department of Computer Engineering at Yildiz Technical University, Istanbul, Turkey","Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering at Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063944626","display_name":"G\u00f6kmen Altay","orcid":null},"institutions":[{"id":"https://openalex.org/I128277893","display_name":"Bah\u00e7e\u015fehir University","ror":"https://ror.org/00yze4d93","country_code":"TR","type":"education","lineage":["https://openalex.org/I128277893"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gokmen Altay","raw_affiliation_strings":["Department of Biomedical Engineering at Bahcesehir University, Istanbul, Turkey","Dept. of Biomed. Eng., Bahcesehir Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering at Bahcesehir University, Istanbul, Turkey","institution_ids":["https://openalex.org/I128277893"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Bahcesehir Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I128277893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09560606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9995999932289124,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9995999932289124,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9994999766349792,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"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/estimator","display_name":"Estimator","score":0.8265132904052734},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.7874155640602112},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6464632749557495},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.6265460252761841},{"id":"https://openalex.org/keywords/b-spline","display_name":"B-spline","score":0.5687297582626343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4722960293292999},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4456167221069336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4146057963371277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41333702206611633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3816038966178894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3711121678352356},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.261239230632782},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13184821605682373}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8265132904052734},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.7874155640602112},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6464632749557495},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.6265460252761841},{"id":"https://openalex.org/C15945459","wikidata":"https://www.wikidata.org/wiki/Q2083109","display_name":"B-spline","level":2,"score":0.5687297582626343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4722960293292999},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4456167221069336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4146057963371277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41333702206611633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3816038966178894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3711121678352356},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.261239230632782},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13184821605682373},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2013.6701663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2013.6701663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th IEEE International Conference on BioInformatics and BioEngineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1635484243","https://openalex.org/W1983871127","https://openalex.org/W2044525257","https://openalex.org/W2055967751","https://openalex.org/W2078149659","https://openalex.org/W2079517420","https://openalex.org/W2094558888","https://openalex.org/W2102471334","https://openalex.org/W2104828064","https://openalex.org/W2105527349","https://openalex.org/W2112534124","https://openalex.org/W2159578516","https://openalex.org/W2161467890","https://openalex.org/W2163296115","https://openalex.org/W3099289621","https://openalex.org/W6670026339"],"related_works":["https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2103073163","https://openalex.org/W2131662362","https://openalex.org/W2052425187","https://openalex.org/W2766141905","https://openalex.org/W3084529718","https://openalex.org/W3153287478"],"abstract_inverted_index":{"Gene":[0],"Network":[1],"Inference":[2],"(GNI)":[3],"algorithms":[4,26],"enable":[5],"searching":[6],"the":[7,10,24,29,33,40,45,56,60,70,75,89,103,120,123,129,134,139],"interactions":[8],"among":[9,138],"several":[11],"cell":[12,34],"molecules.":[13,35],"Many":[14],"application":[15],"fields":[16],"such":[17],"as":[18],"computational":[19],"biology":[20],"and":[21],"pharmacology":[22],"utilize":[23],"GNI":[25,46,115],"to":[27,74,83,88,145],"illustrate":[28],"interaction":[30,57],"networks":[31],"of":[32,44,69,93,105],"Association":[36],"score":[37],"estimation":[38],"is":[39,49,79,107,117],"most":[41],"crucial":[42],"step":[43],"applications.":[47],"B-spline":[48,71,85,106,126],"a":[50,95],"popular":[51],"approach,":[52],"which":[53],"efficiently":[54],"estimates":[55],"scores":[58],"between":[59],"variable":[61],"(gene)":[62],"pairs.":[63],"In":[64,81],"this":[65],"study":[66],"inference":[67,136],"performance":[68,86,104,137],"estimator":[72,127],"according":[73,87],"selected":[76,140],"spline":[77,90,130,141],"order":[78,131],"examined.":[80,109],"addition":[82],"evaluating":[84],"order,":[91],"influences":[92],"using":[94],"frequently":[96],"used":[97,118],"pre-processing":[98],"operation":[99],"Copula":[100],"Transform":[101],"on":[102],"also":[108],"Conservative":[110],"Causal":[111],"Core":[112],"network":[113],"(C3NET)":[114],"algorithm":[116],"in":[119],"experiments.":[121],"At":[122],"overall":[124],"analysis,":[125],"with":[128],"2":[132],"gave":[133],"best":[135],"orders":[142],"from":[143],"1":[144],"10.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
