{"id":"https://openalex.org/W1985198460","doi":"https://doi.org/10.1109/globalsip.2014.7032359","title":"Robust detection of periodic patterns in gene expression microarray data using topological signal analysis","display_name":"Robust detection of periodic patterns in gene expression microarray data using topological signal analysis","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1985198460","doi":"https://doi.org/10.1109/globalsip.2014.7032359","mag":"1985198460"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1410.0608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009835496","display_name":"Saba Emrani","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saba Emrani","raw_affiliation_strings":["Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC, US","Electrical and Computer Engineering Department, North Carolina State University Raleigh, NC, US"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC, US","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, North Carolina State University Raleigh, NC, US","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102895416","display_name":"Hamid Krim","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamid Krim","raw_affiliation_strings":["Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC, US","Electrical and Computer Engineering Department, North Carolina State University Raleigh, NC, US"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC, US","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, North Carolina State University Raleigh, NC, US","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009835496"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06797538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1406","last_page":"1409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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":0.9718000292778015,"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/topological-data-analysis","display_name":"Topological data analysis","score":0.6560501456260681},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5434489846229553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.530892550945282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5192920565605164},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5152838230133057},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.49971556663513184},{"id":"https://openalex.org/keywords/persistent-homology","display_name":"Persistent homology","score":0.49415042996406555},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4562552869319916},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4508967399597168},{"id":"https://openalex.org/keywords/saccharomyces-cerevisiae","display_name":"Saccharomyces cerevisiae","score":0.44926828145980835},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.44917649030685425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467305302619934},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3421086370944977},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2900707423686981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24631977081298828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20947933197021484},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.20411920547485352},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1655271053314209}],"concepts":[{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.6560501456260681},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5434489846229553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.530892550945282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5192920565605164},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5152838230133057},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.49971556663513184},{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.49415042996406555},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4562552869319916},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4508967399597168},{"id":"https://openalex.org/C2777576037","wikidata":"https://www.wikidata.org/wiki/Q719725","display_name":"Saccharomyces cerevisiae","level":3,"score":0.44926828145980835},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.44917649030685425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467305302619934},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3421086370944977},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2900707423686981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24631977081298828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20947933197021484},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.20411920547485352},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1655271053314209},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/globalsip.2014.7032359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1410.0608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.0608","pdf_url":"https://arxiv.org/pdf/1410.0608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:1985198460","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1410.0608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.743.3851","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.743.3851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1410.0608.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.1410.0608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1410.0608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1410.0608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.0608","pdf_url":"https://arxiv.org/pdf/1410.0608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1985198460.pdf","grobid_xml":"https://content.openalex.org/works/W1985198460.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W107886322","https://openalex.org/W1549386224","https://openalex.org/W1757837788","https://openalex.org/W1984391316","https://openalex.org/W1991566301","https://openalex.org/W2076183637","https://openalex.org/W2098521923","https://openalex.org/W2103453943","https://openalex.org/W2122135124","https://openalex.org/W2134314273","https://openalex.org/W2137755256","https://openalex.org/W2142894222","https://openalex.org/W2158038039","https://openalex.org/W2159012751","https://openalex.org/W2997000181","https://openalex.org/W3176826459"],"related_works":["https://openalex.org/W2963348096","https://openalex.org/W2153880729","https://openalex.org/W2599259619","https://openalex.org/W2135810468","https://openalex.org/W2049214036","https://openalex.org/W2611831635","https://openalex.org/W1993679325","https://openalex.org/W1572394266","https://openalex.org/W2118435084","https://openalex.org/W1968207312","https://openalex.org/W2424074590","https://openalex.org/W82706493","https://openalex.org/W1821009005","https://openalex.org/W1973932849","https://openalex.org/W2127019958","https://openalex.org/W2051294577","https://openalex.org/W2133943736","https://openalex.org/W2153291145","https://openalex.org/W2035288542","https://openalex.org/W1516555496"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,36],"new":[6],"approach":[7],"for":[8,59],"analyzing":[9],"gene":[10],"expression":[11],"data":[12,73],"that":[13],"builds":[14],"on":[15],"topological":[16],"characteristics":[17],"of":[18,40,55,61,89],"time":[19,41],"series.":[20],"Our":[21,79],"goal":[22],"is":[23,49,66],"to":[24,51,70],"identify":[25],"cell":[26],"cycle":[27],"regulated":[28],"genes":[29],"in":[30],"micro":[31],"array":[32],"dataset.":[33],"We":[34],"construct":[35],"point":[37,57],"cloud":[38,58],"out":[39],"series":[42],"using":[43,81],"delay":[44],"coordinate":[45],"embeddings.":[46],"Persistent":[47],"homology":[48],"utilized":[50],"analyse":[52],"the":[53,56,87,90],"topology":[54],"detection":[60],"periodicity.":[62],"This":[63],"novel":[64],"technique":[65],"accurate":[67],"and":[68,75],"robust":[69],"noise,":[71],"missing":[72],"points":[74],"varying":[76],"sampling":[77],"intervals.":[78],"experiments":[80],"Yeast":[82],"Saccharomyces":[83],"cerevisiae":[84],"dataset":[85],"substantiate":[86],"capabilities":[88],"proposed":[91],"method.":[92]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
