{"id":"https://openalex.org/W2072460814","doi":"https://doi.org/10.1371/journal.pcbi.1002098","title":"Automatic Annotation of Spatial Expression Patterns via Sparse Bayesian Factor Models","display_name":"Automatic Annotation of Spatial Expression Patterns via Sparse Bayesian Factor Models","publication_year":2011,"publication_date":"2011-07-21","ids":{"openalex":"https://openalex.org/W2072460814","doi":"https://doi.org/10.1371/journal.pcbi.1002098","mag":"2072460814","pmid":"https://pubmed.ncbi.nlm.nih.gov/21814502"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1002098","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1002098","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002098&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.1002098&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060311157","display_name":"Iulian Pruteanu-Malinici","orcid":"https://orcid.org/0000-0002-9787-2985"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iulian Pruteanu-Malinici","raw_affiliation_strings":["Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America"],"affiliations":[{"raw_affiliation_string":"Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079601649","display_name":"Daniel Mace","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel L. Mace","raw_affiliation_strings":["University of Washington, Seattle, Washington, United States of America","University of Washington, Seattle, Washington, #N#United States of America"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Seattle, Washington, #N#United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000077668","display_name":"Uwe Ohler","orcid":"https://orcid.org/0000-0002-0881-3116"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Uwe Ohler","raw_affiliation_strings":["Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America"],"affiliations":[{"raw_affiliation_string":"Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000077668"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":2.1402,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88703782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":"7","first_page":"e1002098","last_page":"e1002098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9991000294685364,"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":0.9988999962806702,"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":0.669971764087677},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6341575384140015},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6058380007743835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5871360898017883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.533319354057312},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5315586924552917},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5303324460983276},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47467494010925293},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4706377685070038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4188234210014343},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3775731921195984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3574930429458618},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.27591443061828613},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.218454509973526},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2099623680114746},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09911280870437622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669971764087677},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6341575384140015},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6058380007743835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5871360898017883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.533319354057312},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5315586924552917},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5303324460983276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47467494010925293},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4706377685070038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4188234210014343},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3775731921195984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3574930429458618},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.27591443061828613},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.218454509973526},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2099623680114746},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09911280870437622},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004331","descriptor_name":"Drosophila melanogaster","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","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":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","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":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"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}],"locations_count":9,"locations":[{"id":"doi:10.1371/journal.pcbi.1002098","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1002098","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002098&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:21814502","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21814502","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:CiteSeerX.psu:10.1.1.349.8080","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.349.8080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/c3/56/PLoS_Comput_Biol_2011_Jul_21_7(7)_e1002098.tar.gz","raw_type":"text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1002098","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002098","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:5a5a02022de5477b9d0926030077474a","is_oa":true,"landing_page_url":"https://doaj.org/article/5a5a02022de5477b9d0926030077474a","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 7, Iss 7, p e1002098 (2011)","raw_type":"article"},{"id":"pmh:oai:dukespace.lib.duke.edu:10161/15356","is_oa":true,"landing_page_url":"http://hdl.handle.net/10161/15356","pdf_url":null,"source":{"id":"https://openalex.org/S4306400687","display_name":"DukeSpace (Duke University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170897317","host_organization_name":"Duke University","host_organization_lineage":["https://openalex.org/I170897317"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:edoc.mdc-berlin.de:12569","is_oa":false,"landing_page_url":"http://edoc.mdc-berlin.de/12569/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400224","display_name":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:europepmc.org:2156938","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3140966","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"},{"id":"pmh:oai:figshare.com:article/135149","is_oa":true,"landing_page_url":"https://figshare.com/articles/Automatic_Annotation_of_Spatial_Expression_Patterns_via_Sparse_Bayesian_Factor_Models/135149","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1002098","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1002098","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002098&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/G1892907734","display_name":null,"funder_award_id":"P50-GM081883","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4582951935","display_name":"CAREER:   Computational modeling and analysis of gene expression patterns from microscopy image data","funder_award_id":"0953184","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2072460814.pdf","grobid_xml":"https://content.openalex.org/works/W2072460814.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1857352599","https://openalex.org/W1976443465","https://openalex.org/W1985176850","https://openalex.org/W1990141255","https://openalex.org/W2014908429","https://openalex.org/W2033311794","https://openalex.org/W2034732817","https://openalex.org/W2035751541","https://openalex.org/W2062953127","https://openalex.org/W2069022989","https://openalex.org/W2073580040","https://openalex.org/W2084191969","https://openalex.org/W2084787613","https://openalex.org/W2096521567","https://openalex.org/W2103017472","https://openalex.org/W2105490800","https://openalex.org/W2105581244","https://openalex.org/W2111842831","https://openalex.org/W2114112529","https://openalex.org/W2116015974","https://openalex.org/W2120309364","https://openalex.org/W2123491442","https://openalex.org/W2126598433","https://openalex.org/W2127043599","https://openalex.org/W2130029389","https://openalex.org/W2139212933","https://openalex.org/W2150579376","https://openalex.org/W2153191444","https://openalex.org/W2153783109","https://openalex.org/W2153944330","https://openalex.org/W2154211011","https://openalex.org/W2158092584","https://openalex.org/W2177274842","https://openalex.org/W2783263214","https://openalex.org/W4388319965","https://openalex.org/W6659069407","https://openalex.org/W6809554498","https://openalex.org/W7075655187"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2556260348"],"abstract_inverted_index":{"Advances":[0],"in":[1,16,74,110,198],"reporters":[2],"for":[3,25,122,193,210],"gene":[4,41,51],"expression":[5,14,52,78,104,150,167],"have":[6,66],"made":[7],"it":[8],"possible":[9],"to":[10,20,46,148,175],"document":[11],"and":[12,49,114,126],"quantify":[13],"patterns":[15,105,151,168],"2D-4D.":[17],"In":[18],"contrast":[19],"microarrays,":[21],"which":[22,75,199],"provide":[23,121,218],"data":[24,61,196],"many":[26],"genes":[27],"but":[28],"averaged":[29],"and/or":[30],"at":[31,169],"low":[32],"resolution,":[33],"images":[34,55,87],"reveal":[35],"the":[36,76,117,201],"high":[37],"spatial":[38],"dynamics":[39],"of":[40,80,85,94,136,166,183],"expression.":[42],"Developing":[43],"computational":[44],"methods":[45,180],"compare,":[47],"annotate,":[48],"model":[50,73,203],"based":[53],"on":[54,102],"is":[56,88,140],"imperative,":[57],"considering":[58],"that":[59,116],"available":[60],"are":[62],"rapidly":[63],"increasing.":[64],"We":[65,98],"developed":[67],"a":[68,82,91,107,123,146,190],"sparse":[69,159],"Bayesian":[70],"factor":[71,137],"analysis":[72,211],"observed":[77],"diversity":[79],"among":[81],"large":[83,194],"set":[84,135],"high-dimensional":[86],"modeled":[89],"by":[90,145],"small":[92],"number":[93],"hidden":[95],"common":[96,128],"factors.":[97],"apply":[99],"this":[100],"approach":[101,160],"embryonic":[103],"from":[106],"Drosophila":[108],"RNA":[109],"situ":[111],"image":[112,178],"database,":[113],"show":[115],"automatically":[118],"inferred":[119],"factors":[120],"meaningful":[124],"decomposition":[125],"represent":[127],"co-regulation":[129],"or":[130,163],"biological":[131,221],"functions.":[132],"The":[133],"low-dimensional":[134],"mixing":[138],"weights":[139],"further":[141],"used":[142],"as":[143,205,207,214],"features":[144],"classifier":[147],"annotate":[149],"with":[152],"functional":[153],"categories.":[154],"On":[155],"human-curated":[156],"annotations,":[157],"our":[158],"reaches":[161],"similar":[162],"better":[164],"classification":[165],"different":[170],"developmental":[171],"stages,":[172],"when":[173],"compared":[174],"other":[176],"automatic":[177],"annotation":[179],"using":[181],"thousands":[182],"hard-to-interpret":[184],"features.":[185],"Our":[186],"study":[187],"therefore":[188],"outlines":[189],"general":[191],"framework":[192],"microscopy":[195],"sets,":[197],"both":[200],"generative":[202],"itself,":[204],"well":[206],"its":[208],"application":[209],"tasks":[212],"such":[213],"automated":[215],"annotation,":[216],"can":[217],"insight":[219],"into":[220],"questions.":[222]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}