{"id":"https://openalex.org/W4411550915","doi":"https://doi.org/10.1109/cscwd64889.2025.11033429","title":"Genotypic Data Sparse Dimensionality Reduction and Variational Autoencoder-Based Feature Extraction","display_name":"Genotypic Data Sparse Dimensionality Reduction and Variational Autoencoder-Based Feature Extraction","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411550915","doi":"https://doi.org/10.1109/cscwd64889.2025.11033429"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5100684849","display_name":"Qiushi Zhang","orcid":"https://orcid.org/0000-0001-5169-2092"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiushi Zhang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339300","display_name":"Junfeng Liu","orcid":"https://orcid.org/0000-0001-7035-1234"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Liu","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600277","display_name":"Yizhou Chen","orcid":"https://orcid.org/0000-0002-1273-0348"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Chen","raw_affiliation_strings":["Neuroscience Institute, Carnegie Mellon University,Pittsburgh,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroscience Institute, Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068177781","display_name":"Lang Ao","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Ao","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424600","display_name":"Dandan Chen","orcid":"https://orcid.org/0000-0002-9847-5092"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Chen","raw_affiliation_strings":["School of Automation Engineering, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":2,"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":"1634","last_page":"1639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.7394999861717224,"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/T10885","display_name":"Gene expression and cancer classification","score":0.7394999861717224,"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/autoencoder","display_name":"Autoencoder","score":0.917265772819519},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7571282386779785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6556379199028015},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6041101813316345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5778266787528992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.566275954246521},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4112909734249115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2477491796016693},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1480344533920288}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.917265772819519},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7571282386779785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6556379199028015},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6041101813316345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778266787528992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.566275954246521},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4112909734249115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2477491796016693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1480344533920288},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W10379479","https://openalex.org/W2760972917","https://openalex.org/W2980033661","https://openalex.org/W3008517864","https://openalex.org/W3022446098","https://openalex.org/W3046222922","https://openalex.org/W3112915286","https://openalex.org/W3131860561","https://openalex.org/W3210751575","https://openalex.org/W4281918598","https://openalex.org/W4293034401","https://openalex.org/W4317778265","https://openalex.org/W4321020965","https://openalex.org/W4324143648","https://openalex.org/W4372402741","https://openalex.org/W4378173494","https://openalex.org/W4382068367","https://openalex.org/W4382395617","https://openalex.org/W4391913636","https://openalex.org/W4392029839","https://openalex.org/W4400731999"],"related_works":["https://openalex.org/W4310873165","https://openalex.org/W2355395139","https://openalex.org/W4285596704","https://openalex.org/W2158704926","https://openalex.org/W2536888818","https://openalex.org/W2498710829","https://openalex.org/W2601157893","https://openalex.org/W281791438","https://openalex.org/W2373006798","https://openalex.org/W2131735617"],"abstract_inverted_index":{"The":[0],"analysis":[1],"of":[2,78],"epistasis":[3,139],"in":[4,76,141],"Alzheimer's":[5],"disease":[6],"(AD)":[7],"is":[8],"hindered":[9],"by":[10],"high-dimensional":[11],"genotypic":[12],"data":[13],"and":[14,22,37,69,81,119,134],"limited":[15],"sample":[16],"sizes,":[17],"leading":[18],"to":[19],"computational":[20],"inefficiency":[21],"overfitting":[23],"risks.":[24],"To":[25],"address":[26],"this,":[27],"we":[28],"propose":[29],"a":[30,44,85,90],"hybrid":[31],"framework":[32],"integrating":[33],"sparse":[34],"dimensionality":[35,132],"reduction":[36,133],"Variational":[38],"Autoencoder":[39],"(VAE)-based":[40],"feature":[41,67,135],"extraction.":[42],"First,":[43],"distance":[45],"correlation-guided":[46],"matrix":[47],"groups":[48],"correlated":[49],"single":[50],"nucleotide":[51],"polymorphisms":[52],"(SNPs),":[53],"reducing":[54],"redundancy.":[55],"Second,":[56],"the":[57,66,102],"Intelligent":[58],"Swarm-guided":[59],"Sparse":[60],"Coding":[61],"Optimization":[62],"(ISG-SCO)":[63],"algorithm":[64],"refines":[65],"space":[68,93],"significantly":[70],"outperforms":[71],"Orthogonal":[72],"Matching":[73],"Pursuit":[74],"(OMP)":[75],"terms":[77],"convergence":[79],"speed":[80],"optimization":[82],"efficiency.":[83],"Finally,":[84],"VAE":[86,103],"compresses":[87],"features":[88],"into":[89],"low-dimensional":[91],"latent":[92],"while":[94],"preserving":[95],"discriminative":[96],"genetic":[97],"information.":[98],"Comparative":[99],"experiments":[100],"show":[101],"model":[104],"achieves":[105],"superior":[106],"performance":[107],"(AUC":[108],"=":[109,117,126],"0.67)":[110],"over":[111],"Principal":[112],"Component":[113],"Analysis":[114],"(PCA,":[115],"AUC":[116,125],"0.43)":[118],"t-Distributed":[120],"Stochastic":[121],"Neighbor":[122],"Embedding":[123],"(t-SNE,":[124],"0.46).":[127],"This":[128],"approach":[129],"effectively":[130],"balances":[131],"retention,":[136],"enabling":[137],"reliable":[138],"detection":[140],"AD":[142],"genomic":[143],"studies.":[144]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}