{"id":"https://openalex.org/W2415176682","doi":"https://doi.org/10.1109/tcbb.2015.2476789","title":"Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method","display_name":"Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method","publication_year":2015,"publication_date":"2015-09-23","ids":{"openalex":"https://openalex.org/W2415176682","doi":"https://doi.org/10.1109/tcbb.2015.2476789","mag":"2415176682","pmid":"https://pubmed.ncbi.nlm.nih.gov/26415183"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2015.2476789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2476789","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5018087639","display_name":"Sajid A. Marhon","orcid":"https://orcid.org/0000-0002-1046-9852"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sajid A. Marhon","raw_affiliation_strings":["School of Computer Science, University of Guelph, Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053492737","display_name":"Stefan C. Kremer","orcid":"https://orcid.org/0000-0002-3667-4379"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stefan C. Kremer","raw_affiliation_strings":["School of Computer Science, University of Guelph, Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018087639"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":1.1669,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.78946838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"742","last_page":"753"},"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":0.9973999857902527,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9905999898910522,"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/wavelet","display_name":"Wavelet","score":0.7161839008331299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334955096244812},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6304778456687927},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5639772415161133},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5162060856819153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46879634261131287},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46131420135498047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45613107085227966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36159589886665344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2090068757534027},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11617457866668701},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11360231041908264}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7161839008331299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334955096244812},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6304778456687927},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5639772415161133},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5162060856819153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46879634261131287},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46131420135498047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45613107085227966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36159589886665344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2090068757534027},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11617457866668701},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11360231041908264},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016366","descriptor_name":"Open Reading Frames","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016366","descriptor_name":"Open Reading Frames","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016366","descriptor_name":"Open Reading Frames","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2015.2476789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2476789","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26415183","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26415183","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W173382551","https://openalex.org/W1445156202","https://openalex.org/W1558136956","https://openalex.org/W1584831122","https://openalex.org/W1592365591","https://openalex.org/W1606770439","https://openalex.org/W1966833356","https://openalex.org/W1967519026","https://openalex.org/W1978193381","https://openalex.org/W1994704133","https://openalex.org/W1996188713","https://openalex.org/W2004813532","https://openalex.org/W2006898727","https://openalex.org/W2011480164","https://openalex.org/W2014620714","https://openalex.org/W2016143109","https://openalex.org/W2017120378","https://openalex.org/W2021020563","https://openalex.org/W2045510682","https://openalex.org/W2058730888","https://openalex.org/W2077263906","https://openalex.org/W2097633925","https://openalex.org/W2110564440","https://openalex.org/W2117441377","https://openalex.org/W2130429766","https://openalex.org/W2131585630","https://openalex.org/W2135120651","https://openalex.org/W2137761415","https://openalex.org/W2139181200","https://openalex.org/W2149376445","https://openalex.org/W2157859997","https://openalex.org/W2544775897","https://openalex.org/W6679545500"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Prediction":[0],"of":[1,12,22,35,49,68,74,112,122,130,142,168,188],"protein":[2,23,69],"coding":[3,24,70],"regions":[4,25],"is":[5,39,183],"an":[6,45],"important":[7],"topic":[8],"in":[9,33,92,109,136,185],"the":[10,20,30,36,50,66,75,90,93,106,110,118,131,137,144,158,169,174,180,186],"field":[11],"genomic":[13],"sequence":[14],"analysis.":[15],"Several":[16],"spectrum-based":[17,149],"techniques":[18,38,42],"for":[19,65],"prediction":[21,67,187],"have":[26],"been":[27],"proposed.":[28],"However,":[29],"outstanding":[31],"issue":[32],"most":[34],"proposed":[37,76,119,159,181],"that":[40,80,97,157,179],"these":[41],"depend":[43],"on":[44],"experimentally-selected,":[46],"predefined":[47],"value":[48],"window":[51,78,94,120,132,170],"length.":[52],"In":[53,172],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58,127,165],"new":[59],"Wide-Range":[60],"Wavelet":[61],"Window":[62],"(WRWW)":[63],"method":[64,146,160,182],"regions.":[71],"The":[72,139],"analysis":[73,111,141,176],"wavelet":[77],"shows":[79],"its":[81,86],"frequency":[82,108],"response":[83],"can":[84,99],"adapt":[85],"width":[87],"to":[88,151],"accommodate":[89],"change":[91],"length":[95],"so":[96],"it":[98],"allow":[100],"or":[101],"prevent":[102],"frequencies":[103],"other":[104,148,162],"than":[105],"basic":[107],"DNA":[113,124],"sequences.":[114],"This":[115],"feature":[116],"makes":[117],"capable":[121],"analyzing":[123],"sequences":[125],"with":[126],"wide":[128,166],"range":[129,167],"lengths":[133],"without":[134],"degradation":[135],"performance.":[138],"experimental":[140,175],"applying":[143],"WRWW":[145],"and":[147,191],"methods":[150,163],"five":[152],"benchmark":[153],"datasets":[154],"has":[155,177],"shown":[156,178],"outperforms":[161],"along":[164],"lengths.":[171],"addition,":[173],"dominant":[184],"both":[189],"short":[190],"long":[192],"exons.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}