{"id":"https://openalex.org/W2073606597","doi":"https://doi.org/10.1109/tcbb.2014.2321403","title":"Unfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry Data","display_name":"Unfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry Data","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2073606597","doi":"https://doi.org/10.1109/tcbb.2014.2321403","mag":"2073606597","pmid":"https://pubmed.ncbi.nlm.nih.gov/26357042"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2014.2321403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2321403","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4866872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041343853","display_name":"Peng Qiu","orcid":"https://orcid.org/0000-0003-3256-0734"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Qiu","raw_affiliation_strings":["Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA","The Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041343853"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.5577,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66582172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"6","first_page":"1045","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9986000061035156,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9986000061035156,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9977999925613403,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7305009365081787},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6679747700691223},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.6651512384414673},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6611009240150452},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6269863843917847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.553757905960083},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5261494517326355},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.49313873052597046},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48775607347488403},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4702676236629486},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.42488545179367065},{"id":"https://openalex.org/keywords/flow-cytometry","display_name":"Flow cytometry","score":0.4237772822380066},{"id":"https://openalex.org/keywords/cytometry","display_name":"Cytometry","score":0.41111063957214355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3357280492782593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3143651783466339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14941909909248352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13924875855445862},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12499824166297913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305009365081787},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6679747700691223},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.6651512384414673},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6611009240150452},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6269863843917847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.553757905960083},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5261494517326355},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.49313873052597046},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48775607347488403},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4702676236629486},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.42488545179367065},{"id":"https://openalex.org/C553184892","wikidata":"https://www.wikidata.org/wiki/Q1141429","display_name":"Flow cytometry","level":2,"score":0.4237772822380066},{"id":"https://openalex.org/C2780339063","wikidata":"https://www.wikidata.org/wiki/Q5201367","display_name":"Cytometry","level":3,"score":0.41111063957214355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3357280492782593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3143651783466339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14941909909248352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13924875855445862},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12499824166297913},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001854","descriptor_name":"Bone Marrow Cells","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001854","descriptor_name":"Bone Marrow Cells","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001854","descriptor_name":"Bone Marrow Cells","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005434","descriptor_name":"Flow Cytometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005434","descriptor_name":"Flow Cytometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005434","descriptor_name":"Flow Cytometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcbb.2014.2321403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2321403","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:26357042","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26357042","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},{"id":"pmh:oai:pubmedcentral.nih.gov:4866872","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4866872","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/ACM Trans Comput Biol Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4866872","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4866872","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/ACM Trans Comput Biol Bioinform","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G251696268","display_name":null,"funder_award_id":"R01 CA163481","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1673477340","https://openalex.org/W1719320996","https://openalex.org/W1965525854","https://openalex.org/W1975074876","https://openalex.org/W1981600092","https://openalex.org/W1989838792","https://openalex.org/W2024626836","https://openalex.org/W2038254572","https://openalex.org/W2041333427","https://openalex.org/W2042829929","https://openalex.org/W2047708805","https://openalex.org/W2072723772","https://openalex.org/W2073256527","https://openalex.org/W2087932775","https://openalex.org/W2089410874","https://openalex.org/W2095085751","https://openalex.org/W2097446839","https://openalex.org/W2100437550","https://openalex.org/W2101038583","https://openalex.org/W2102787171","https://openalex.org/W2114124472","https://openalex.org/W2145713585","https://openalex.org/W2150756255","https://openalex.org/W2153283070","https://openalex.org/W2159793042","https://openalex.org/W2167482691","https://openalex.org/W2479500547","https://openalex.org/W4248463836","https://openalex.org/W6637139726"],"related_works":["https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W4385304246","https://openalex.org/W4387096269","https://openalex.org/W4387096070","https://openalex.org/W2410610877","https://openalex.org/W2072696177","https://openalex.org/W2129483036","https://openalex.org/W2106297084"],"abstract_inverted_index":{"Flow":[0],"cytometry":[1,18,66],"is":[2,68,79],"able":[3],"to":[4,48,98,130,161,180],"measure":[5],"the":[6,13,57,64,100,109,124,152,155,159,167,170],"expressions":[7],"of":[8,26,36,43,51,74,93,122,140,149,154,169],"multiple":[9],"proteins":[10],"simultaneously":[11],"at":[12],"single-cell":[14,138],"level.":[15],"A":[16],"flow":[17,65],"experiment":[19],"on":[20,30,71],"one":[21,141],"biological":[22,142],"sample":[23,143],"provides":[24],"measurements":[25],"several":[27],"protein":[28],"markers":[29],"or":[31],"inside":[32],"a":[33,72,91,145],"large":[34],"number":[35,92],"individual":[37],"cells":[38,52],"in":[39,63],"that":[40],"sample.":[41],"Analysis":[42],"such":[44],"data":[45,139],"often":[46],"aims":[47],"identify":[49],"subpopulations":[50],"with":[53],"distinct":[54],"phenotypes.":[55],"Currently,":[56],"most":[58],"widely":[59],"used":[60],"analytical":[61],"approach":[62],"community":[67],"manual":[69,132],"gating":[70,101],"sequence":[73],"nested":[75],"biaxial":[76],"plots,":[77],"which":[78],"highly":[80],"subjective,":[81],"labor":[82],"intensive,":[83],"and":[84,157,176,187],"not":[85],"exhaustive.":[86],"To":[87],"address":[88],"those":[89],"issues,":[90],"methods":[94],"have":[95],"been":[96],"developed":[97],"automate":[99],"analysis":[102,186],"by":[103],"clustering":[104],"algorithms.":[105],"However,":[106],"completely":[107],"removing":[108],"subjectivity":[110],"can":[111],"be":[112],"quite":[113],"challenging.":[114],"This":[115],"paper":[116],"describes":[117],"an":[118],"alternative":[119],"approach.":[120],"Instead":[121],"automating":[123],"analysis,":[125],"we":[126],"develop":[127],"novel":[128],"visualizations":[129,181],"facilitate":[131],"gating.":[133],"The":[134],"proposed":[135,171],"method":[136],"views":[137],"as":[144],"high-dimensional":[146],"point":[147],"cloud":[148],"cells,":[150],"derives":[151],"skeleton":[153,160],"cloud,":[156],"unfolds":[158],"generate":[162],"2D":[163],"visualizations.":[164],"We":[165],"demonstrate":[166],"utility":[168],"visualization":[172],"using":[173],"real":[174],"data,":[175],"provide":[177],"quantitative":[178],"comparison":[179],"generated":[182],"from":[183],"principal":[184],"component":[185],"multidimensional":[188],"scaling.":[189]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
