{"id":"https://openalex.org/W7171497552","doi":"https://doi.org/10.1145/3807503.3819496","title":"Faithful Supervised Dimensionality Reduction for Biomedical Data via Decision Geometry","display_name":"Faithful Supervised Dimensionality Reduction for Biomedical Data via Decision Geometry","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7171497552","doi":"https://doi.org/10.1145/3807503.3819496"},"language":null,"primary_location":{"id":"doi:10.1145/3807503.3819496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819496","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3807503.3819496","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143750989","display_name":"Zexuan Wang","orcid":"https://orcid.org/0009-0001-2635-7767"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zexuan Wang","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0009-0001-2635-7767","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014041803","display_name":"Zhuoping Zhou","orcid":"https://orcid.org/0009-0009-5788-1383"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuoping Zhou","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0009-0009-5788-1383","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143794227","display_name":"Qipeng Zhan","orcid":"https://orcid.org/0009-0008-2306-197X"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qipeng Zhan","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0009-0008-2306-197X","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333320","display_name":"Li Shen","orcid":"https://orcid.org/0000-0002-5443-0503"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0000-0002-5443-0503","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5120999813079834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4120999872684479},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.3621000051498413},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.33649998903274536},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3312000036239624},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.32010000944137573}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576000213623047},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4903999865055084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3781999945640564},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3019999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2849000096321106},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3807503.3819496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819496","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3807503.3819496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819496","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7529196014","display_name":null,"funder_award_id":"U01 AG068057, U01 AG066833, R01 AG071470, U19 AG07487","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2027461913","https://openalex.org/W2118527389","https://openalex.org/W2993894543","https://openalex.org/W3197209004","https://openalex.org/W4285794641","https://openalex.org/W4399388096"],"related_works":[],"abstract_inverted_index":{"Unsupervised":[0],"dimensionality":[1,43,124,148],"reduction":[2,44,125,149],"methods":[3,66,84],"aim":[4],"to":[5,32,48,77,130,169,188],"preserve":[6],"intrinsic":[7],"data":[8,111],"geometry":[9,168,198],"by":[10,201],"maintaining":[11],"local":[12,231],"neighborhoods":[13],"and":[14,28,39,61,69,96,122,163,211,226],"approximate":[15],"global":[16,227],"relationships":[17],"in":[18,37,74,88,109,115,158,206],"low-dimensional":[19,134],"embeddings,":[20],"but":[21,71],"they":[22],"do":[23],"not":[24],"use":[25,127,164],"label":[26],"information":[27,129],"therefore":[29],"may":[30],"fail":[31],"reflect":[33],"task-relevant":[34],"class":[35,50,204,224],"structure":[36,225],"biomedical":[38,102,214],"health":[40],"applications.":[41],"Supervised":[42],"(SDR)":[45],"incorporates":[46],"labels":[47,104],"improve":[49],"organization,":[51],"yet":[52],"existing":[53],"approaches":[54],"often":[55],"face":[56],"a":[57,139,156,171],"trade-off":[58],"between":[59],"discrimination":[60],"geometric":[62,181],"faithfulness.":[63],"Linear":[64],"supervised":[65,123,147],"are":[67,72],"stable":[68],"interpretable":[70],"limited":[73],"their":[75],"ability":[76],"capture":[78],"nonlinear":[79,83],"structure,":[80],"whereas":[81],"many":[82],"impose":[85],"supervision":[86,193],"directly":[87,202],"the":[89,98,159,189,196,207],"embedding":[90],"space,":[91,191],"which":[92],"can":[93,126],"over-separate":[94],"classes":[95],"distort":[97],"underlying":[99],"manifold.":[100],"In":[101],"applications,":[103],"such":[105],"as":[106],"cell":[107],"types":[108],"single-cell":[110],"or":[112],"patient":[113],"status":[114],"clinical":[116],"cohorts":[117],"provide":[118],"meaningful":[119],"biological":[120],"signal,":[121],"this":[128],"produce":[131],"more":[132],"informative":[133],"representations.":[135],"Here":[136],"we":[137],"propose":[138],"new":[140],"framework,":[141],"DG-UMAP":[142],"(Decision-Geometry":[143],"UMAP),":[144],"for":[145],"faithful":[146],"via":[150],"decision":[151,167],"geometry.":[152],"We":[153],"first":[154],"fit":[155],"classifier":[157],"original":[160],"feature":[161],"space":[162],"its":[165],"boundary-local":[166],"construct":[170],"low-rank":[172],"metric":[173],"deformation":[174],"that":[175],"emphasizes":[176],"discriminative":[177],"directions":[178],"while":[179,229],"limiting":[180],"distortion.":[182],"Parametric":[183],"UMAP":[184],"is":[185],"then":[186],"applied":[187],"transformed":[190],"so":[192],"acts":[194],"through":[195],"ambient":[197],"rather":[199],"than":[200],"forcing":[203],"separation":[205],"embedding.":[208],"Across":[209],"synthetic":[210],"multiple":[212],"real-world":[213],"datasets,":[215],"our":[216],"method":[217],"yields":[218],"embeddings":[219],"with":[220,223],"improved":[221],"agreement":[222],"organization":[228],"preserving":[230],"neighborhood":[232],"quality.":[233]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-29T00:00:00"}
