{"id":"https://openalex.org/W1515254768","doi":"https://doi.org/10.1109/saci.2015.7208216","title":"The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFX","display_name":"The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFX","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1515254768","doi":"https://doi.org/10.1109/saci.2015.7208216","mag":"1515254768"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2015.7208216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2015.7208216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","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/A5023120837","display_name":"Andrei Lihu","orcid":"https://orcid.org/0000-0002-2316-3991"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Andrei Lihu","raw_affiliation_strings":["Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania","Department of Computer Science, Politehnica University of Timisoara Bd. Vasile Parvan 2, 300223, Timisoara, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]},{"raw_affiliation_string":"Department of Computer Science, Politehnica University of Timisoara Bd. Vasile Parvan 2, 300223, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042610306","display_name":"\u015etefan Holban","orcid":"https://orcid.org/0009-0001-7427-2311"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Stefan Holban","raw_affiliation_strings":["Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania","Department of Computer Science, Politehnica University of Timisoara Bd. Vasile Parvan 2, 300223, Timisoara, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]},{"raw_affiliation_string":"Department of Computer Science, Politehnica University of Timisoara Bd. Vasile Parvan 2, 300223, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023120837"],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01963352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2012","issue":null,"first_page":"295","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9997000098228455,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9997000098228455,"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":0.9958000183105469,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/zinc-finger","display_name":"Zinc finger","score":0.7088951468467712},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6667104363441467},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5638991594314575},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.5303916335105896},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5258748531341553},{"id":"https://openalex.org/keywords/transcription-factor","display_name":"Transcription factor","score":0.5236606001853943},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.46750175952911377},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46208569407463074},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.42541104555130005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42302456498146057},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.41742873191833496},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3728220462799072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33778268098831177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3341010510921478},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.31913959980010986},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0903826653957367}],"concepts":[{"id":"https://openalex.org/C24284526","wikidata":"https://www.wikidata.org/wiki/Q204785","display_name":"Zinc finger","level":4,"score":0.7088951468467712},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6667104363441467},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5638991594314575},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.5303916335105896},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5258748531341553},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.5236606001853943},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.46750175952911377},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46208569407463074},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.42541104555130005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42302456498146057},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.41742873191833496},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3728220462799072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33778268098831177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3341010510921478},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.31913959980010986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0903826653957367},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci.2015.7208216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2015.7208216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1502569812","https://openalex.org/W1976093396","https://openalex.org/W1988294855","https://openalex.org/W2012464013","https://openalex.org/W2032231928","https://openalex.org/W2036131961","https://openalex.org/W2041877620","https://openalex.org/W2056002855","https://openalex.org/W2060445972","https://openalex.org/W2084620487","https://openalex.org/W2085092487","https://openalex.org/W2091230759","https://openalex.org/W2097175728","https://openalex.org/W2103777723","https://openalex.org/W2118393799","https://openalex.org/W2119804413","https://openalex.org/W2121792371","https://openalex.org/W2141408320","https://openalex.org/W2143701918","https://openalex.org/W2145091349","https://openalex.org/W2154897644","https://openalex.org/W2156759612","https://openalex.org/W2157009395","https://openalex.org/W2157952888","https://openalex.org/W2158962723","https://openalex.org/W2764410856","https://openalex.org/W3109638071","https://openalex.org/W6681037366"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2158700654","https://openalex.org/W2379938888","https://openalex.org/W2566202039","https://openalex.org/W4233405330"],"abstract_inverted_index":{"Motif":[0],"finding":[1],"is":[2],"a":[3,63],"computationally":[4],"expensive":[5],"procedure":[6],"subject":[7],"to":[8,34,54],"noise":[9],"and":[10,21],"false":[11],"positives,":[12],"but":[13],"of":[14,28,43],"major":[15],"importance":[16],"in":[17,26,49],"understanding":[18],"gene":[19],"expression":[20],"cancer.":[22],"Several":[23],"authors":[24],"argued":[25],"favor":[27],"using":[29,44],"higher":[30,46],"order":[31,47],"background":[32],"models":[33,48],"better":[35],"discriminate":[36],"motifs.":[37],"This":[38],"paper":[39],"studies":[40],"the":[41,56],"effect":[42],"Markov":[45,75],"three":[50],"commonly":[51],"used":[52],"algorithms":[53],"identify":[55],"ZFX":[57],"transcription":[58],"factor's":[59],"binding":[60],"sites":[61],"from":[62],"mouse":[64],"embryonic":[65],"stem":[66],"cells":[67],"dataset.":[68],"We":[69],"conclude":[70],"that":[71,77],"there":[72],"are":[73],"particular":[74],"orders":[76],"yield":[78],"improved":[79],"outcomes":[80],"for":[81],"each":[82],"algorithm.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}