{"id":"https://openalex.org/W2040607174","doi":"https://doi.org/10.1186/1471-2105-15-s10-p15","title":"Parameter estimations of sigmoidal models of cancer","display_name":"Parameter estimations of sigmoidal models of cancer","publication_year":2014,"publication_date":"2014-09-29","ids":{"openalex":"https://openalex.org/W2040607174","doi":"https://doi.org/10.1186/1471-2105-15-s10-p15","mag":"2040607174","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/4196032"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s10-p15","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-S10-P15","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-S10-P15","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061185771","display_name":"Ferhan M. At\u0131c\u0131","orcid":"https://orcid.org/0000-0002-9862-9901"},"institutions":[{"id":"https://openalex.org/I94339441","display_name":"Western Kentucky University","ror":"https://ror.org/0446vnd56","country_code":"US","type":"funder","lineage":["https://openalex.org/I94339441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ferhan M Atici","raw_affiliation_strings":["Department of Mathematics, Western Kentucky University, Bowling Green, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Western Kentucky University, Bowling Green, USA","institution_ids":["https://openalex.org/I94339441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030446247","display_name":"Mustafa At\u0131c\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I94339441","display_name":"Western Kentucky University","ror":"https://ror.org/0446vnd56","country_code":"US","type":"funder","lineage":["https://openalex.org/I94339441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Atici","raw_affiliation_strings":["Department of Computer Science , Western Kentucky University , Bowling Green, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Western Kentucky University , Bowling Green, USA","institution_ids":["https://openalex.org/I94339441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101860214","display_name":"Ngoc Cuong Nguyen","orcid":"https://orcid.org/0000-0001-7322-6527"},"institutions":[{"id":"https://openalex.org/I94339441","display_name":"Western Kentucky University","ror":"https://ror.org/0446vnd56","country_code":"US","type":"funder","lineage":["https://openalex.org/I94339441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ngoc Nguyen","raw_affiliation_strings":["Department of Mathematics, Western Kentucky University, Bowling Green, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Western Kentucky University, Bowling Green, USA","institution_ids":["https://openalex.org/I94339441"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":"15","issue":"S10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9878,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9878,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9537,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.53814733}],"concepts":[{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5405741},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.53814733},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5300937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43484095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.42340216},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.34173375},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2427322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22016588},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.112339556},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.101997584},{"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":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s10-p15","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-S10-P15","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196032","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s10-p15","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-S10-P15","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":2,"referenced_works":["https://openalex.org/W2017367505","https://openalex.org/W2034095105"],"related_works":["https://openalex.org/W4385957115","https://openalex.org/W3047779762","https://openalex.org/W2151865869","https://openalex.org/W2130076355","https://openalex.org/W2082860237","https://openalex.org/W2061372042","https://openalex.org/W2013243191","https://openalex.org/W1993764875","https://openalex.org/W1990804418","https://openalex.org/W1641042124"],"abstract_inverted_index":{"Background":[0],"Tumor":[1],"growth,":[2],"a":[3,21,59],"relationship":[4],"between":[5],"tumor":[6,31,74,113],"size":[7],"and":[8,33,49,86,107,115],"time,":[9],"is":[10,17,63,102],"of":[11,99,111,119],"special":[12],"interest":[13],"since":[14],"growth":[15,32,45,70,114],"estimation":[16],"very":[18],"critical":[19],"in":[20,72,122],"clinical":[22],"practice.":[23],"There":[24],"are":[25,39,92],"some":[26],"mathematical":[27],"models":[28,88,110,121],"which":[29,62,80],"describe":[30],"have":[34,125],"prediction":[35],"capabilities.":[36],"Typically,":[37],"there":[38],"three":[40,82],"ways":[41],"to":[42,65,68,103,124],"model":[43,79],"non-complex":[44],"behavior:":[46],"exponential,":[47],"logistic":[48],"sigmoidal.":[50],"In":[51],"1825,":[52],"Benjamin":[53],"Gompertz":[54,57,78],"introduced":[55],"the":[56,77,84,112],"function,":[58,61],"sigmoid":[60],"found":[64],"be":[66],"applicable":[67],"various":[69],"phenomena,":[71],"particular":[73],"growth.":[75],"Besides":[76],"includes":[81],"parameters,":[83],"Weibull":[85],"Richards":[87],"with":[89],"four":[90],"parameters":[91,118],"known":[93],"as":[94],"sigmoidal":[95],"models.":[96],"The":[97],"aim":[98],"this":[100],"project":[101],"introduce":[104],"continuous":[105],"fractional":[106,109],"discrete":[108],"also":[116],"estimate":[117],"these":[120],"order":[123],"better":[126],"data":[127],"fitting.":[128]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2040607174","counts_by_year":[],"updated_date":"2025-02-07T15:36:57.955248","created_date":"2016-06-24"}