{"id":"https://openalex.org/W4309044328","doi":"https://doi.org/10.48550/arxiv.2211.05884","title":"Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples","display_name":"Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4309044328","doi":"https://doi.org/10.48550/arxiv.2211.05884"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2211.05884","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.05884","pdf_url":"https://arxiv.org/pdf/2211.05884","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.05884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078921816","display_name":"Luis Carlos Rivera Monroy","orcid":"https://orcid.org/0000-0001-8232-8920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monroy, Luis Carlos Rivera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009266943","display_name":"Leonhard Rist","orcid":"https://orcid.org/0000-0002-9589-3774"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rist, Leonhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087467842","display_name":"Martin Eberhardt","orcid":"https://orcid.org/0009-0006-2292-8856"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eberhardt, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058502539","display_name":"Christian Ostalecki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ostalecki, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067437272","display_name":"Andreas S. Baur","orcid":"https://orcid.org/0000-0003-1783-3853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baur, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067743298","display_name":"Julio Vera","orcid":"https://orcid.org/0000-0002-3076-5122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vera, Julio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025681380","display_name":"Katharina Breininger","orcid":"https://orcid.org/0000-0001-7600-5869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Breininger, Katharina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maier, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9916999936103821,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.9911999702453613,"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":0.6443527340888977},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6355706453323364},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6149191856384277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5582470297813416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5400157570838928},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4246743321418762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35883936285972595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32601699233055115},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13704326748847961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443527340888977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6355706453323364},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6149191856384277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5582470297813416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5400157570838928},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4246743321418762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35883936285972595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32601699233055115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13704326748847961},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2211.05884","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.05884","pdf_url":"https://arxiv.org/pdf/2211.05884","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2211.05884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.05884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.05884","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.05884","pdf_url":"https://arxiv.org/pdf/2211.05884","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309044328.pdf","grobid_xml":"https://content.openalex.org/works/W4309044328.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W2734796617","https://openalex.org/W2102405864","https://openalex.org/W3034087822","https://openalex.org/W2477982797","https://openalex.org/W4388446985"],"abstract_inverted_index":{"Histopathology":[0],"imaging":[1,82],"is":[2,42,67],"crucial":[3],"for":[4],"the":[5,86],"diagnosis":[6],"and":[7,20,29,38,73],"treatment":[8],"of":[9,31,96],"skin":[10,32],"diseases.":[11],"For":[12],"this":[13,90],"reason,":[14],"computer-assisted":[15],"approaches":[16,100],"have":[17,56],"gained":[18],"popularity":[19],"shown":[21],"promising":[22],"results":[23],"in":[24,89],"tasks":[25],"such":[26],"as":[27,70],"segmentation":[28],"classification":[30,94],"disorders.":[33],"However,":[34],"collecting":[35],"essential":[36],"data":[37],"sufficiently":[39],"high-quality":[40],"annotations":[41],"a":[43,48,71,77,93],"challenge.":[44],"This":[45,63,81],"work":[46],"describes":[47],"pipeline":[49],"that":[50,55],"uses":[51],"suspected":[52],"melanoma":[53],"samples":[54],"been":[57],"characterized":[58],"using":[59],"Multi-Epitope-Ligand":[60],"Cartography":[61],"(MELC).":[62],"cellular-level":[64],"tissue":[65],"characterisation":[66],"then":[68],"represented":[69],"graph":[72,78],"used":[74],"to":[75],"train":[76],"neural":[79],"network.":[80],"technology,":[83],"combined":[84],"with":[85],"methodology":[87],"proposed":[88],"work,":[91],"achieves":[92],"accuracy":[95],"87%,":[97],"outperforming":[98],"existing":[99],"by":[101],"10%.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}