{"id":"https://openalex.org/W4225420206","doi":"https://doi.org/10.1371/journal.pcbi.1009975","title":"Using topic modeling to detect cellular crosstalk in scRNA-seq","display_name":"Using topic modeling to detect cellular crosstalk in scRNA-seq","publication_year":2022,"publication_date":"2022-04-08","ids":{"openalex":"https://openalex.org/W4225420206","doi":"https://doi.org/10.1371/journal.pcbi.1009975","pmid":"https://pubmed.ncbi.nlm.nih.gov/35395014"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009975","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009975","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009975&type=printable","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://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009975&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021348906","display_name":"Alexandrina Pancheva","orcid":"https://orcid.org/0000-0002-3026-7078"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Alexandrina Pancheva","raw_affiliation_strings":["Institute for Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3026-7078","affiliations":[{"raw_affiliation_string":"Institute for Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072637924","display_name":"Helen Wheadon","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Helen Wheadon","raw_affiliation_strings":["Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-9902-3170","affiliations":[{"raw_affiliation_string":"Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060432668","display_name":"Simon Rogers","orcid":"https://orcid.org/0000-0003-3578-4477"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Rogers","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3578-4477","affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012004257","display_name":"Thomas D. Otto","orcid":"https://orcid.org/0000-0002-1246-7404"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Thomas D. Otto","raw_affiliation_strings":["Institute for Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012004257","https://openalex.org/A5021348906"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":2.6039,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9067999,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"4","first_page":"e1009975","last_page":"e1009975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9959999918937683,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9890000224113464,"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":0.569219708442688},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.562729001045227},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5474491715431213},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5278720259666443},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5119224786758423},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4754371643066406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38254255056381226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242757320404053},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2978597581386566},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.2620718479156494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569219708442688},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.562729001045227},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5474491715431213},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5278720259666443},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5119224786758423},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4754371643066406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38254255056381226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242757320404053},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2978597581386566},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.2620718479156494},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1009975","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009975","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009975&type=printable","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:35395014","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35395014","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:eprints.gla.ac.uk:269288","is_oa":true,"landing_page_url":"http://eprints.gla.ac.uk/view/author/47926.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:RePEc:plo:pcbi00:1009975","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009975","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:f5dff1b316724d358d95b46b9389885a","is_oa":true,"landing_page_url":"https://doaj.org/article/f5dff1b316724d358d95b46b9389885a","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 18, Iss 4, p e1009975 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9064087","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9064087","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_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"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1009975","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009975","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009975&type=printable","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/G3804957094","display_name":null,"funder_award_id":"104111/Z/14/ZR","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G3817770730","display_name":"DTP Bid Led by University of Edinburgh","funder_award_id":"MR/N013166/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G4219695895","display_name":null,"funder_award_id":"104111","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G8605277898","display_name":null,"funder_award_id":"104111/Z/14/ZR","funder_id":"https://openalex.org/F4320307874","funder_display_name":"Wellcome"}],"funders":[{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225420206.pdf","grobid_xml":"https://content.openalex.org/works/W4225420206.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1565735996","https://openalex.org/W2024986033","https://openalex.org/W2048719634","https://openalex.org/W2286142055","https://openalex.org/W2519794569","https://openalex.org/W2522581443","https://openalex.org/W2774307122","https://openalex.org/W2785085486","https://openalex.org/W2804916645","https://openalex.org/W2817838603","https://openalex.org/W2886347923","https://openalex.org/W2896222795","https://openalex.org/W2900144939","https://openalex.org/W2917343300","https://openalex.org/W2934716754","https://openalex.org/W2949237386","https://openalex.org/W2949269903","https://openalex.org/W2953151710","https://openalex.org/W2958554910","https://openalex.org/W2988464219","https://openalex.org/W2992151131","https://openalex.org/W3010299674","https://openalex.org/W3010766518","https://openalex.org/W3012498554","https://openalex.org/W3024643080","https://openalex.org/W3026876979","https://openalex.org/W3087339707","https://openalex.org/W4231510805","https://openalex.org/W4251025034"],"related_works":["https://openalex.org/W3126382579","https://openalex.org/W3107650560","https://openalex.org/W2810542905","https://openalex.org/W4315588616","https://openalex.org/W4317422773","https://openalex.org/W2888805565","https://openalex.org/W2129350855","https://openalex.org/W2800670487","https://openalex.org/W2913821620","https://openalex.org/W3123667230"],"abstract_inverted_index":{"Cell-cell":[0],"interactions":[1,20,70,238],"are":[2,24,36,39,171],"vital":[3],"for":[4,18,54,91,193,227],"numerous":[5],"biological":[6,44],"processes":[7],"including":[8],"development,":[9],"differentiation,":[10],"and":[11,31,61,152,199,223,239,245],"response":[12],"to":[13,41,58,68,105,108,112,122,131,138,181,208,219,251],"inflammation.":[14],"Currently,":[15],"most":[16],"methods":[17,35],"studying":[19],"on":[21,26,77,86],"scRNA-seq":[22],"level":[23],"based":[25,85],"curated":[27],"databases":[28],"of":[29,99,134,147,168,175,237,247],"ligands":[30],"receptors.":[32],"While":[33],"those":[34],"useful,":[37],"they":[38],"limited":[40],"our":[42,103,129,206],"current":[43],"knowledge.":[45,79],"Recent":[46],"advances":[47],"in":[48,71,117,173,185,195,254],"single":[49],"cell":[50],"protocols":[51],"have":[52,65],"allowed":[53],"physically":[55,135],"interacting":[56,119,136,177,221],"cells":[57,137],"be":[59],"captured,":[60],"as":[62,96,144],"such":[63],"we":[64,127,164,189,204],"the":[66,140,176,182,186,196],"potential":[67],"study":[69],"a":[72,82,97,123,145,166,209,213,232],"complemantary":[73],"way":[74],"without":[75],"relying":[76],"prior":[78,243],"We":[80,101,230],"introduce":[81],"new":[83],"method":[84,104,207,233],"Latent":[87],"Dirichlet":[88],"Allocation":[89],"(LDA)":[90],"detecting":[92],"genes":[93,114,141,169,183],"that":[94,115,142,170,234],"change":[95,116,143],"result":[98,146],"interaction.":[100],"apply":[102,128,205],"synthetic":[106,248],"datasets":[107,133],"demonstrate":[109],"its":[110,225],"ability":[111],"detect":[113,252],"an":[118],"population":[120],"compared":[121],"reference":[124,249],"population.":[125],"Next,":[126],"approach":[130],"two":[132],"identify":[139],"interaction,":[148],"examples":[149],"include":[150],"adhesion":[151],"co-stimulatory":[153],"molecules":[154],"which":[155],"confirm":[156],"physical":[157],"interaction":[158,194],"between":[159],"cells.":[160,178],"For":[161],"each":[162],"dataset":[163,210],"produce":[165],"ranking":[167],"changing":[172],"subpopulations":[174],"In":[179],"addition":[180],"discussed":[184],"original":[187],"publications,":[188],"highlight":[190],"further":[191],"candidates":[192],"top":[197],"100":[198],"300":[200],"ranked":[201],"genes.":[202],"Lastly,":[203],"generated":[211],"by":[212],"standard":[214],"droplet-based":[215],"protocol":[216],"not":[217,241],"designed":[218],"capture":[220],"cells,":[222],"discuss":[224],"suitability":[226],"analysing":[228],"interactions.":[229],"present":[231],"streamlines":[235],"detection":[236],"does":[240],"require":[242],"clustering":[244],"generation":[246],"profiles":[250],"changes":[253],"expression.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
