{"id":"https://openalex.org/W4312630394","doi":"https://doi.org/10.1109/mlsp55214.2022.9943418","title":"Source Identification for Exosomal Communication via Protein Language Models","display_name":"Source Identification for Exosomal Communication via Protein Language Models","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4312630394","doi":"https://doi.org/10.1109/mlsp55214.2022.9943418"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55214.2022.9943418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55214.2022.9943418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101680435","display_name":"Xinbo Wu","orcid":"https://orcid.org/0000-0002-9846-2857"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinbo Wu","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044806687","display_name":"Alexandru Hanganu","orcid":"https://orcid.org/0000-0002-2547-4005"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexandru Hanganu","raw_affiliation_strings":["University of Montreal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montreal","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959889","display_name":"Ayuko Hoshino","orcid":"https://orcid.org/0000-0003-4149-5073"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayuko Hoshino","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065423139","display_name":"Lav R. Varshney","orcid":"https://orcid.org/0000-0003-2798-5308"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lav R. Varshney","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9958000183105469,"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/T10773","display_name":"Extracellular vesicles in disease","score":0.9952999949455261,"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":0.6620348691940308},{"id":"https://openalex.org/keywords/microvesicles","display_name":"Microvesicles","score":0.5831599831581116},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5044823884963989},{"id":"https://openalex.org/keywords/extracellular-vesicles","display_name":"Extracellular vesicles","score":0.4755166172981262},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.47403883934020996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4271659255027771},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3239479660987854},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2829298973083496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1409454643726349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620348691940308},{"id":"https://openalex.org/C20518536","wikidata":"https://www.wikidata.org/wiki/Q6840469","display_name":"Microvesicles","level":4,"score":0.5831599831581116},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5044823884963989},{"id":"https://openalex.org/C2992929900","wikidata":"https://www.wikidata.org/wiki/Q21097485","display_name":"Extracellular vesicles","level":2,"score":0.4755166172981262},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.47403883934020996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4271659255027771},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3239479660987854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2829298973083496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1409454643726349},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55214.2022.9943418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55214.2022.9943418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1936725236","https://openalex.org/W1950118853","https://openalex.org/W2100457377","https://openalex.org/W2187089797","https://openalex.org/W2579892984","https://openalex.org/W2898402099","https://openalex.org/W2902347140","https://openalex.org/W2951433247","https://openalex.org/W2963341956","https://openalex.org/W2989608901","https://openalex.org/W2999481648","https://openalex.org/W3037888463","https://openalex.org/W3092189037","https://openalex.org/W3112376646","https://openalex.org/W3177500196","https://openalex.org/W4236358448","https://openalex.org/W6756732229","https://openalex.org/W6763868836","https://openalex.org/W6780110802","https://openalex.org/W6783990525","https://openalex.org/W6797514830"],"related_works":["https://openalex.org/W3136773999","https://openalex.org/W2732249677","https://openalex.org/W2801998618","https://openalex.org/W2553388940","https://openalex.org/W2745118010","https://openalex.org/W4283722695","https://openalex.org/W1488361140","https://openalex.org/W4282959679","https://openalex.org/W4221076855","https://openalex.org/W2990003047"],"abstract_inverted_index":{"Exosomes":[0],"are":[1],"extracellular":[2],"vesicles":[3],"that":[4,42],"propagate":[5],"in":[6,16,70],"the":[7,26,36,39,82,103],"body":[8],"as":[9,20,93],"a":[10,12,51,71,86,89,94,99],"form":[11],"cell-to-cell":[13],"communication,":[14],"implicated":[15],"many":[17],"diseases":[18],"such":[19],"cancer":[21],"and":[22,97,131],"neurodegeneration.":[23],"To":[24,46],"understand":[25,126],"impacts":[27],"of":[28,85],"exosomal":[29,122],"messages,":[30],"it":[31],"is":[32],"important":[33],"to":[34,80,106,120,125],"determine":[35],"message":[37],"source:":[38],"organ":[40],"system":[41],"initially":[43],"secreted":[44],"them.":[45],"do":[47],"so,":[48],"we":[49],"develop":[50],"new":[52,117],"technique":[53],"based":[54],"on":[55],"protein":[56,68,75],"language":[57],"models":[58],"(PLMs);":[59],"PLMs":[60],"with":[61],"Transformer":[62],"neural":[63],"architecture":[64],"now":[65],"learn":[66],"powerful":[67],"representations":[69,76],"self-supervised":[72],"manner.":[73],"Learned":[74],"can":[77],"be":[78],"used":[79],"estimate":[81],"source":[83,108],"organs":[84],"protein.":[87],"Using":[88],"pre-trained":[90],"Transformer-based":[91],"PLM":[92],"feature":[95],"extractor":[96],"fine-tuning":[98],"prediction":[100],"model":[101],"over":[102],"extracted":[104],"features":[105],"predict":[107],"organs,":[109],"yields":[110],"reasonable":[111],"predictive":[112],"accuracy.":[113],"We":[114],"apply":[115],"this":[116],"analysis":[118],"tool":[119],"bulk":[121],"proteomics":[123],"data":[124],"differences":[127],"between":[128],"healthy":[129],"aging":[130],"neurodegenerative":[132],"disease.":[133]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}