{"id":"https://openalex.org/W2987129607","doi":"https://doi.org/10.1109/ssd.2019.8893173","title":"Detecting Recurrent Copy Number Variations from aCGH Data via Smoothness-Constrained Models","display_name":"Detecting Recurrent Copy Number Variations from aCGH Data via Smoothness-Constrained Models","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2987129607","doi":"https://doi.org/10.1109/ssd.2019.8893173","mag":"2987129607"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2019.8893173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","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/A5032670309","display_name":"Mustafa Alshawaqfeh","orcid":"https://orcid.org/0000-0003-2170-6830"},"institutions":[{"id":"https://openalex.org/I230091363","display_name":"German Jordanian University","ror":"https://ror.org/02jgpyd84","country_code":"JO","type":"education","lineage":["https://openalex.org/I230091363"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mustafa Alshawaqfeh","raw_affiliation_strings":["Electrical and Communication Engineering Department, German Jordanian University, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Communication Engineering Department, German Jordanian University, Amman, Jordan","institution_ids":["https://openalex.org/I230091363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060982195","display_name":"Ammar Gharaibeh","orcid":"https://orcid.org/0000-0001-9886-5800"},"institutions":[{"id":"https://openalex.org/I230091363","display_name":"German Jordanian University","ror":"https://ror.org/02jgpyd84","country_code":"JO","type":"education","lineage":["https://openalex.org/I230091363"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ammar Gharaibeh","raw_affiliation_strings":["Computer Engineering Department, German Jordanian University, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, German Jordanian University, Amman, Jordan","institution_ids":["https://openalex.org/I230091363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I230091363"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21312217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9987000226974487,"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/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/comparative-genomic-hybridization","display_name":"Comparative genomic hybridization","score":0.7409460544586182},{"id":"https://openalex.org/keywords/copy-number-variation","display_name":"Copy-number variation","score":0.6489127278327942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264768242835999},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5629908442497253},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4994387626647949},{"id":"https://openalex.org/keywords/bioconductor","display_name":"Bioconductor","score":0.43266117572784424},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3300771713256836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3053262233734131},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2594996988773346},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.19181495904922485},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1609758734703064}],"concepts":[{"id":"https://openalex.org/C124942203","wikidata":"https://www.wikidata.org/wiki/Q656638","display_name":"Comparative genomic hybridization","level":4,"score":0.7409460544586182},{"id":"https://openalex.org/C120821319","wikidata":"https://www.wikidata.org/wiki/Q1501491","display_name":"Copy-number variation","level":4,"score":0.6489127278327942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264768242835999},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5629908442497253},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4994387626647949},{"id":"https://openalex.org/C2779694297","wikidata":"https://www.wikidata.org/wiki/Q2888953","display_name":"Bioconductor","level":3,"score":0.43266117572784424},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3300771713256836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3053262233734131},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2594996988773346},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.19181495904922485},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1609758734703064},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2019.8893173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.41999998688697815},{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1559899545","https://openalex.org/W1966938977","https://openalex.org/W1971321176","https://openalex.org/W2028995907","https://openalex.org/W2034979835","https://openalex.org/W2037174520","https://openalex.org/W2056937433","https://openalex.org/W2076587377","https://openalex.org/W2093545205","https://openalex.org/W2100725331","https://openalex.org/W2101918096","https://openalex.org/W2103559027","https://openalex.org/W2107751484","https://openalex.org/W2107838694","https://openalex.org/W2118550318","https://openalex.org/W2119554316","https://openalex.org/W2127879797","https://openalex.org/W2129879418","https://openalex.org/W2133174470","https://openalex.org/W2135046866","https://openalex.org/W2136723735","https://openalex.org/W2144644150","https://openalex.org/W2148133654","https://openalex.org/W2152036878","https://openalex.org/W2155707112","https://openalex.org/W2156505355","https://openalex.org/W2164278908","https://openalex.org/W2168730720","https://openalex.org/W2169043705","https://openalex.org/W2195958334","https://openalex.org/W4205213118","https://openalex.org/W4292363360","https://openalex.org/W6677924301"],"related_works":["https://openalex.org/W2135678793","https://openalex.org/W2011682793","https://openalex.org/W2109288169","https://openalex.org/W2010401695","https://openalex.org/W2413147539","https://openalex.org/W97043878","https://openalex.org/W1963487910","https://openalex.org/W2036870935","https://openalex.org/W2019912140","https://openalex.org/W2012927393"],"abstract_inverted_index":{"Increasing":[0],"number":[1,8,50],"of":[2,38,66,100],"genomic":[3],"studies":[4],"have":[5],"associated":[6],"copy":[7,49],"variations":[9],"(CNVs)":[10],"with":[11],"several":[12],"diseases":[13],"such":[14,39],"as":[15,110],"cancer,":[16],"autism,":[17],"Alzheimer,":[18],"and":[19,68,84,141],"many":[20],"autoimmune":[21],"diseases.":[22,40],"Therefore,":[23],"developing":[24],"reliable":[25,91],"computational":[26],"tools":[27],"for":[28,46,90,123],"recurrent":[29,92],"CNV":[30,93],"detection":[31,94],"is":[32,51,60,104],"crucial":[33],"to":[34,63,105,121,131,154],"understand":[35],"the":[36,64,101,107,114,118,134,155],"development":[37],"A":[41],"widely":[42],"used":[43],"microarray":[44],"technology":[45],"measuring":[47],"DNA":[48],"array-based":[52],"Comparative":[53],"Genomic":[54],"Hybridization":[55],"(aCGH).":[56],"Identifying":[57],"concurrent":[58],"CNVs":[59],"challenging":[61],"due":[62],"presence":[65],"noise":[67],"sample-specific":[69,124],"variations.":[70,125],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75,128],"two":[76,102],"matrix":[77],"decomposition-based":[78],"approaches,":[79],"Smooth":[80,85],"Regularization":[81,86],"Decomposition":[82,88],"(SRD)":[83],"Sparse":[87],"(SRSD)":[89],"from":[95],"aCGH":[96,108],"data.":[97],"The":[98],"essence":[99],"techniques":[103],"model":[106,120],"profiles":[109],"smooth":[111],"signals.":[112],"However,":[113],"SRSD":[115,135],"algorithm":[116,130],"extends":[117],"SRD":[119],"account":[122],"We":[126],"also":[127],"an":[129],"efficiently":[132],"solve":[133],"model.":[136],"Our":[137],"simulations,":[138],"using":[139],"synthetic":[140],"realistic":[142],"datasets,":[143],"show":[144],"that":[145],"our":[146],"proposed":[147],"models":[148],"achieve":[149],"better":[150],"accuracies":[151],"when":[152],"compared":[153],"state-of-the-art":[156],"models.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
