{"id":"https://openalex.org/W2746145065","doi":"https://doi.org/10.1145/3107411.3110410","title":"A Bayesian Approach to Determine the Composition of Heterogeneous Cancer Tissue","display_name":"A Bayesian Approach to Determine the Composition of Heterogeneous Cancer Tissue","publication_year":2017,"publication_date":"2017-08-20","ids":{"openalex":"https://openalex.org/W2746145065","doi":"https://doi.org/10.1145/3107411.3110410","mag":"2746145065"},"language":"en","primary_location":{"id":"doi:10.1145/3107411.3110410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3110410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071344481","display_name":"Ashish Katiyar","orcid":"https://orcid.org/0000-0003-0442-1702"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ashish Katiyar","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013070593","display_name":"Anwoy Kumar Mohanty","orcid":"https://orcid.org/0000-0001-5495-9346"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anwoy Mohanty","raw_affiliation_strings":["Brigham and Women's Hospital &amp; Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital &amp; Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028402481","display_name":"Chao Sima","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Sima","raw_affiliation_strings":["TEES/Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"TEES/Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100559028","display_name":"Jianping Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Hua","raw_affiliation_strings":["TEES/Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"TEES/Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049738610","display_name":"Rosana Lopes","orcid":"https://orcid.org/0009-0008-0278-1417"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rosana Lopes","raw_affiliation_strings":["TEES/Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"TEES/Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045462352","display_name":"Aniruddha Datta","orcid":"https://orcid.org/0000-0003-1213-3807"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniruddha Datta","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007353982","display_name":"Michael Bittner","orcid":"https://orcid.org/0000-0003-4293-930X"},"institutions":[{"id":"https://openalex.org/I1284308235","display_name":"Translational Genomics Research Institute","ror":"https://ror.org/02hfpnk21","country_code":"US","type":"facility","lineage":["https://openalex.org/I1284308235"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael L. Bittner","raw_affiliation_strings":["Translational Genomics Research Institute, Phoenix, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Translational Genomics Research Institute, Phoenix, AZ, USA","institution_ids":["https://openalex.org/I1284308235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071344481"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08985439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"773","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9502000212669373,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9404000043869019,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6163239479064941},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.584758460521698},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.562147855758667},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5138688087463379},{"id":"https://openalex.org/keywords/cancer-cell","display_name":"Cancer cell","score":0.5037164092063904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30008959770202637},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14657971262931824},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08718481659889221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6163239479064941},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.584758460521698},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.562147855758667},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5138688087463379},{"id":"https://openalex.org/C96232424","wikidata":"https://www.wikidata.org/wiki/Q4118072","display_name":"Cancer cell","level":3,"score":0.5037164092063904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30008959770202637},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14657971262931824},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08718481659889221},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3107411.3110410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3110410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3501505827","display_name":null,"funder_award_id":"ECCS-1404314","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4251104453"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W2418239294","https://openalex.org/W2805185066"],"abstract_inverted_index":{"Cancer":[0],"Tissue":[1],"Heterogeneity":[2],"is":[3,23,125],"an":[4,83],"important":[5],"consideration":[6],"in":[7,30,104,119],"cancer":[8,31,44,76,112,139],"research":[9],"as":[10],"it":[11],"can":[12,46],"give":[13],"insights":[14],"into":[15],"the":[16,38,50,65,71,91],"causes":[17],"and":[18,35,127,132],"progression":[19],"of":[20,41,67,70,73,93,138],"cancer.":[21],"It":[22],"known":[24],"to":[25,63,85,115],"play":[26],"a":[27,42,58,74,120],"significant":[28],"role":[29],"cell":[32,99,113,140],"survival,":[33],"growth":[34],"metastasis.":[36],"Determining":[37],"compositional":[39],"breakup":[40],"heterogeneous":[43,75,111],"tissue":[45],"also":[47],"help":[48],"address":[49,64],"therapeutic":[51],"challenges":[52],"posed":[53],"by":[54,89],"heterogeneity.":[55],"This":[56],"necessitates":[57],"low":[59,105],"cost,":[60,97],"scalable":[61],"algorithm":[62,84,124],"challenge":[66],"accurate":[68],"estimation":[69],"composition":[72,118],"tissue.":[77],"In":[78],"this":[79,87],"paper,":[80],"we":[81],"propose":[82],"tackle":[86],"problem":[88],"utilizing":[90],"data":[92,131,134],"accurate,":[94],"but":[95],"high":[96],"single":[98],"line":[100],"cell-by-cell":[101],"observation":[102,108],"methods":[103],"cost":[106],"ensemble":[107],"method":[109],"for":[110],"mixtures":[114,137],"obtain":[116],"their":[117],"Bayesian":[121],"framework.":[122],"The":[123],"analyzed":[126],"validated":[128],"using":[129],"synthetic":[130],"experimental":[133],"obtained":[135],"from":[136],"lines.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
