{"id":"https://openalex.org/W4387970375","doi":"https://doi.org/10.1371/journal.pcbi.1011582","title":"Recognition and reconstruction of cell differentiation patterns with deep learning","display_name":"Recognition and reconstruction of cell differentiation patterns with deep learning","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387970375","doi":"https://doi.org/10.1371/journal.pcbi.1011582","pmid":"https://pubmed.ncbi.nlm.nih.gov/37889897"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011582","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011582","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1011582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004393548","display_name":"Robin Dirk","orcid":null},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robin Dirk","raw_affiliation_strings":["Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany"],"affiliations":[{"raw_affiliation_string":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077478181","display_name":"Jonas Fischer","orcid":"https://orcid.org/0009-0008-5027-0005"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jonas L. Fischer","raw_affiliation_strings":["Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany"],"affiliations":[{"raw_affiliation_string":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016811461","display_name":"Simon Schardt","orcid":null},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simon Schardt","raw_affiliation_strings":["Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany"],"affiliations":[{"raw_affiliation_string":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004411749","display_name":"Markus J. Ankenbrand","orcid":"https://orcid.org/0000-0002-6620-807X"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Markus J. Ankenbrand","raw_affiliation_strings":["Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany"],"affiliations":[{"raw_affiliation_string":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085730979","display_name":"Sabine Fischer","orcid":"https://orcid.org/0000-0001-7237-814X"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sabine C. Fischer","raw_affiliation_strings":["Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany"],"affiliations":[{"raw_affiliation_string":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg, Fakult\u00e4t f\u00fcr Biologie, Center for Computational and Theoretical Biology, Klara-Oppenheimer-Weg 32, Campus Hubland Nord, Germany","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004393548","https://openalex.org/A5004411749","https://openalex.org/A5016811461","https://openalex.org/A5077478181","https://openalex.org/A5085730979"],"corresponding_institution_ids":["https://openalex.org/I25974101"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2967,"currency":"EUR","value_usd":3199},"fwci":2.5654,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90386728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"10","first_page":"e1011582","last_page":"e1011582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9980000257492065,"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/T10862","display_name":"AI in cancer detection","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9800999760627747,"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/computer-science","display_name":"Computer science","score":0.6518694758415222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6455041170120239},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5816231369972229},{"id":"https://openalex.org/keywords/cell-fate-determination","display_name":"Cell fate determination","score":0.5060219168663025},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.49300119280815125},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4771530032157898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4501802325248718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4394080936908722},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24799171090126038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12250646948814392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518694758415222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6455041170120239},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5816231369972229},{"id":"https://openalex.org/C163952510","wikidata":"https://www.wikidata.org/wiki/Q5058196","display_name":"Cell fate determination","level":4,"score":0.5060219168663025},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.49300119280815125},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4771530032157898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4501802325248718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4394080936908722},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24799171090126038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12250646948814392},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1011582","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011582","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:37889897","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37889897","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:opus.bibliothek.uni-wuerzburg.de:35016","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-350167","pdf_url":"https://opus.bibliothek.uni-wuerzburg.de/files/35016/journal.pcbi.1011582.pdf","source":{"id":"https://openalex.org/S4306401635","display_name":"Online Publication Service of W\u00fcrzburg University (W\u00fcrzburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I25974101","host_organization_name":"University of W\u00fcrzburg","host_organization_lineage":["https://openalex.org/I25974101"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10631711","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10631711","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10631711/pdf/pcbi.1011582.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011582","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011582","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:c4f6439312284b989d2e159c9cbdaaed","is_oa":true,"landing_page_url":"https://doaj.org/article/c4f6439312284b989d2e159c9cbdaaed","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 10, p e1011582 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011582","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011582","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G489913065","display_name":null,"funder_award_id":"470129398","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8991254585","display_name":null,"funder_award_id":"RAC/2020","funder_id":"https://openalex.org/F4320325356","funder_display_name":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320325356","display_name":"Julius-Maximilians-Universit\u00e4t W\u00fcrzburg","ror":"https://ror.org/00fbnyb24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1846714664","https://openalex.org/W1980011313","https://openalex.org/W2006587375","https://openalex.org/W2024453017","https://openalex.org/W2052611179","https://openalex.org/W2076586303","https://openalex.org/W2107793443","https://openalex.org/W2116341502","https://openalex.org/W2132022337","https://openalex.org/W2151611345","https://openalex.org/W2264243307","https://openalex.org/W2295936755","https://openalex.org/W2549811460","https://openalex.org/W2594781353","https://openalex.org/W2800655655","https://openalex.org/W2901349583","https://openalex.org/W2905224888","https://openalex.org/W2953359837","https://openalex.org/W2975317124","https://openalex.org/W2989991450","https://openalex.org/W3022794193","https://openalex.org/W3024050217","https://openalex.org/W3152893301","https://openalex.org/W3163465952","https://openalex.org/W3207290808","https://openalex.org/W4221095552","https://openalex.org/W4386512265","https://openalex.org/W6631190155","https://openalex.org/W6869699453","https://openalex.org/W6946029589"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2211931904","https://openalex.org/W2321234655","https://openalex.org/W2065444835","https://openalex.org/W2470062578","https://openalex.org/W2952773340","https://openalex.org/W2981861370","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Cell":[0],"lineage":[1],"decisions":[2],"occur":[3],"in":[4,102,118,155],"three-dimensional":[5],"spatial":[6,37,88],"patterns":[7,23,101,135,221],"that":[8,56],"are":[9],"difficult":[10],"to":[11,20,34,95,154,217],"identify":[12],"by":[13,83],"eye.":[14],"There":[15],"is":[16],"an":[17],"ongoing":[18],"effort":[19],"replicate":[21,35],"such":[22],"using":[24],"mathematical":[25,85,215],"modeling.":[26],"One":[27],"approach":[28,210],"uses":[29],"long":[30],"ranging":[31],"cell-cell":[32,48],"communication":[33,49],"common":[36],"arrangements":[38],"like":[39],"checkerboard":[40],"and":[41,74,91,97,113,120,129,145],"engulfing":[42],"patterns.":[43],"In":[44],"this":[45,166],"model,":[46],"the":[47,59,62,84,124,134,151,174,183,186,201],"has":[50],"been":[51,69],"implemented":[52,169],"as":[53,136],"a":[54,137,139,159,170,177,192,206],"signal":[55,161],"disperses":[57],"throughout":[58],"tissue.":[60],"On":[61],"other":[63],"hand,":[64],"machine":[65],"learning":[66,93,213],"models":[67],"have":[68],"developed":[70,144],"for":[71,117,173],"pattern":[72,75],"recognition":[73],"reconstruction":[76],"tasks.":[77],"We":[78],"combined":[79],"synthetic":[80,121,148],"data":[81,122,149,157],"generated":[82],"model":[86,125],"with":[87,214,222],"summary":[89],"statistics":[90],"deep":[92,212],"algorithms":[94],"recognize":[96],"reconstruct":[98],"cell":[99,179,196,219],"fate":[100,180,197,220],"organoids":[103],"of":[104,110,176,185,195,205],"mouse":[105],"embryonic":[106],"stem":[107],"cells.":[108,188],"Application":[109,153],"Moran's":[111],"index":[112],"pair":[114],"correlation":[115],"functions":[116],"vitro":[119,156],"from":[123,150],"showed":[126],"local":[127],"clustering":[128],"radial":[130],"segregation.":[131],"To":[132,164],"assess":[133],"whole,":[138],"graph":[140],"neural":[141],"network":[142],"was":[143],"trained":[146],"on":[147,182,200],"model.":[152],"predicted":[158],"low":[160],"dispersion":[162],"value.":[163],"test":[165],"result,":[167],"we":[168],"multilayer":[171],"perceptron":[172],"prediction":[175],"given":[178],"based":[181,199],"fates":[184],"neighboring":[187],"The":[189],"results":[190],"show":[191],"70%":[193],"accuracy":[194],"imputation":[198],"nine":[202],"nearest":[203],"neighbors":[204],"cell.":[207],"Overall,":[208],"our":[209],"combines":[211],"modeling":[216],"link":[218],"potential":[223],"underlying":[224],"mechanisms.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
