{"id":"https://openalex.org/W2074073012","doi":"https://doi.org/10.1109/iscas.2010.5537210","title":"Comparative genomic analysis using statistically optimal null filters","display_name":"Comparative genomic analysis using statistically optimal null filters","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2074073012","doi":"https://doi.org/10.1109/iscas.2010.5537210","mag":"2074073012"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2010.5537210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","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/A5040990763","display_name":"Rajasekhar Kakumani","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rajasekhar Kakumani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, West Montreal Quebec, Canada","Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, West Montreal Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081405486","display_name":"Muneer Ahmad","orcid":"https://orcid.org/0000-0001-5047-1108"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, West Montreal Quebec, Canada","Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, West Montreal Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066796016","display_name":"Vijay Devabhaktunit","orcid":null},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Devabhaktunit","raw_affiliation_strings":["University of Toledo, Toledo, OH, US","Department or Electrical Engineering and Computer Science University of Toledo, MS 308, 2801 W. Bancroft St., Toledo, OH 43606, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toledo, Toledo, OH, US","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"Department or Electrical Engineering and Computer Science University of Toledo, MS 308, 2801 W. Bancroft St., Toledo, OH 43606, USA","institution_ids":["https://openalex.org/I90871651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2235","last_page":"2238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9998000264167786,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9998000264167786,"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":0.9962999820709229,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9933000206947327,"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/computational-biology","display_name":"Computational biology","score":0.5582731366157532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5359504818916321},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.5029301047325134},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.49094513058662415},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4695373773574829},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4633939862251282},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4272352457046509},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.366990864276886},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3411172330379486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3211686611175537},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.25902625918388367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2563779354095459},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.2535760998725891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2516728639602661}],"concepts":[{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5582731366157532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5359504818916321},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.5029301047325134},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.49094513058662415},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4695373773574829},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4633939862251282},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4272352457046509},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.366990864276886},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3411172330379486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3211686611175537},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.25902625918388367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2563779354095459},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.2535760998725891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2516728639602661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2010.5537210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","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":10,"referenced_works":["https://openalex.org/W1597742024","https://openalex.org/W1980051733","https://openalex.org/W1984222728","https://openalex.org/W2011480164","https://openalex.org/W2084067528","https://openalex.org/W2133366642","https://openalex.org/W2141474097","https://openalex.org/W4229799243","https://openalex.org/W6635708266","https://openalex.org/W6679858612"],"related_works":["https://openalex.org/W1570309050","https://openalex.org/W1994829526","https://openalex.org/W2219563043","https://openalex.org/W2212197444","https://openalex.org/W1885898241","https://openalex.org/W2157169416","https://openalex.org/W2389183782","https://openalex.org/W2097100439","https://openalex.org/W2991879206","https://openalex.org/W2372798710"],"abstract_inverted_index":{"It":[0],"is":[1,71,103,119],"well":[2],"established":[3],"that":[4],"the":[5,16,39,84,90,97,100,108,116],"function":[6],"of":[7,41,86,99],"human":[8,32],"gene":[9,18,35],"can":[10],"be":[11],"identified":[12],"by":[13],"working":[14],"on":[15],"corresponding":[17],"in":[19,44,54,81,105,122,127],"a":[20,60,124,128],"model":[21],"organism.":[22],"Such":[23],"comparative":[24,50,74],"genomic":[25,42,51,75,91,130],"studies":[26],"have":[27],"provided":[28],"new":[29],"insights":[30],"into":[31],"biology":[33],"and":[34],"expression.":[36],"Due":[37],"to":[38],"explosion":[40],"data":[43],"recent":[45],"times,":[46],"highly":[47,120],"effective":[48],"computational":[49],"algorithms":[52],"are":[53],"greater":[55],"demand.":[56],"In":[57,114],"this":[58],"research,":[59],"digital":[61],"signal":[62],"processing":[63],"approach":[64,102],"using":[65],"statistically":[66],"optimal":[67],"null":[68],"filter":[69,80],"(SONF)":[70],"developed":[72],"for":[73],"analysis.":[76],"The":[77],"instantaneous":[78],"matched":[79],"SONF":[82],"determines":[83],"degree":[85],"local":[87],"alignment":[88],"between":[89],"sequences":[92],"being":[93],"compared.":[94],"Through":[95],"examples":[96],"effectiveness":[98],"proposed":[101,117],"illustrated":[104],"comparison":[106],"with":[107],"other":[109],"existing":[110],"convolution":[111],"based":[112],"method.":[113],"particular,":[115],"method":[118],"efficient":[121],"locating":[123],"short":[125],"motif":[126],"large":[129],"sequence.":[131]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}