{"id":"https://openalex.org/W2146364324","doi":"https://doi.org/10.1109/acc.2008.4586878","title":"Achieving targeted granulocyte differentiation through the use of interpolation and optimization techniques","display_name":"Achieving targeted granulocyte differentiation through the use of interpolation and optimization techniques","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2146364324","doi":"https://doi.org/10.1109/acc.2008.4586878","mag":"2146364324"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2008.4586878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2008.4586878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 American Control Conference","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/A5054518944","display_name":"S. K. Noble","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Noble","raw_affiliation_strings":["Electrical and Computer Engineering Department, Purdue University, West Lafayette, IN, USA","Electr. & Comput. Eng. Dept., Purdue Univ., West Lafayette, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept., Purdue Univ., West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073458224","display_name":"Eric A. Sherer","orcid":"https://orcid.org/0000-0001-8403-482X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Sherer","raw_affiliation_strings":["Chemical Engineering Department, Purdue University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemical Engineering Department, Purdue University, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045303041","display_name":"Doraiswami Ramkrishna","orcid":"https://orcid.org/0000-0001-8615-5203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doraiswami Ramkrishna","raw_affiliation_strings":["Chemical Engineering Department, Purdue University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemical Engineering Department, Purdue University, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048545593","display_name":"Ann E. Rundell","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ann Rundell","raw_affiliation_strings":["Biomedical Engineering Department, Purdue University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, Purdue University, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8456,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77966848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2571","last_page":"2572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9991999864578247,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9991999864578247,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9980999827384949,"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/T10031","display_name":"T-cell and B-cell Immunology","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.597375750541687},{"id":"https://openalex.org/keywords/granulocyte","display_name":"Granulocyte","score":0.5568540692329407},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48501846194267273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4783201217651367},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44677332043647766},{"id":"https://openalex.org/keywords/flow-cytometry","display_name":"Flow cytometry","score":0.4411338269710541},{"id":"https://openalex.org/keywords/cellular-differentiation","display_name":"Cellular differentiation","score":0.4184281527996063},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41180139780044556},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35237133502960205},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.31457817554473877},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.22829726338386536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2207728624343872},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15909448266029358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14945754408836365},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1051572859287262},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10365134477615356}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.597375750541687},{"id":"https://openalex.org/C2777983669","wikidata":"https://www.wikidata.org/wiki/Q223143","display_name":"Granulocyte","level":2,"score":0.5568540692329407},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48501846194267273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4783201217651367},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44677332043647766},{"id":"https://openalex.org/C553184892","wikidata":"https://www.wikidata.org/wiki/Q1141429","display_name":"Flow cytometry","level":2,"score":0.4411338269710541},{"id":"https://openalex.org/C148738053","wikidata":"https://www.wikidata.org/wiki/Q210861","display_name":"Cellular differentiation","level":3,"score":0.4184281527996063},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41180139780044556},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35237133502960205},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.31457817554473877},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.22829726338386536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2207728624343872},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15909448266029358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14945754408836365},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1051572859287262},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10365134477615356},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2008.4586878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2008.4586878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W13406669","https://openalex.org/W66436105","https://openalex.org/W1564970155","https://openalex.org/W1773256867","https://openalex.org/W2041348884","https://openalex.org/W2097794976","https://openalex.org/W6602779118"],"related_works":["https://openalex.org/W2500038226","https://openalex.org/W1966652204","https://openalex.org/W2415281480","https://openalex.org/W2412241571","https://openalex.org/W4251194061","https://openalex.org/W2314330891","https://openalex.org/W4312063994","https://openalex.org/W2397713019","https://openalex.org/W2052058314","https://openalex.org/W2066547047"],"abstract_inverted_index":{"Cellular":[0],"differentiation":[1,47,60],"is":[2,36],"a":[3,19,25,30],"complex":[4],"process":[5],"for":[6,28],"which":[7],"systematic":[8],"design":[9],"of":[10,33,56,80],"control":[11,26,85],"strategies":[12],"has":[13],"not":[14],"been":[15],"widely":[16],"investigated.":[17],"As":[18],"first":[20],"step":[21],"towards":[22],"this":[23],"aim,":[24],"strategy":[27],"achieving":[29],"desired":[31],"percentage":[32],"differentiating":[34],"cells":[35,57],"proposed.":[37],"A":[38],"population":[39],"balance":[40],"model":[41,83],"structure":[42],"parallels":[43],"the":[44,54,63,78,81],"known":[45],"granulocyte/monocyte":[46],"pathway.":[48],"Transition":[49],"rate":[50],"functions":[51],"that":[52],"characterize":[53],"movement":[55],"from":[58,67],"one":[59],"state":[61],"to":[62],"next":[64],"were":[65],"identified":[66],"experimental":[68],"data":[69],"obtained":[70],"via":[71],"flow":[72],"cytometry.":[73],"An":[74],"additional":[75],"experiment":[76],"demonstrates":[77],"efficacy":[79],"proposed":[82],"and":[84],"strategy.":[86]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}