{"id":"https://openalex.org/W4391096184","doi":"https://doi.org/10.1109/bigdata59044.2023.10386596","title":"Mask-cscGAN for realistic synthetic cell generation","display_name":"Mask-cscGAN for realistic synthetic cell generation","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391096184","doi":"https://doi.org/10.1109/bigdata59044.2023.10386596"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386596","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5019849669","display_name":"Panagiotis Antoniadis","orcid":"https://orcid.org/0000-0001-5647-641X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Antoniadis","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001431318","display_name":"Christina Sartzetaki","orcid":"https://orcid.org/0009-0009-2057-5614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christina Sartzetaki","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040958665","display_name":"Nick Antonopoulos","orcid":"https://orcid.org/0000-0002-3175-8338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nick Antonopoulos","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076154269","display_name":"Pantelis Papageorgiou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pantelis Papageorgiou","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050352797","display_name":"Aigli Korfiati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aigli Korfiati","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040922549","display_name":"Vassilis Pitsikalis","orcid":"https://orcid.org/0000-0002-1593-7491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vassilis Pitsikalis","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18252972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"4575","last_page":"4583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11190","display_name":"3D Printing in Biomedical Research","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.987500011920929,"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":0.5804651379585266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5804651379585266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386596","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1790748249","https://openalex.org/W2148143831","https://openalex.org/W2187089797","https://openalex.org/W2791285756","https://openalex.org/W2919720720","https://openalex.org/W2921410104","https://openalex.org/W2961217357","https://openalex.org/W2996410336","https://openalex.org/W3000350302","https://openalex.org/W3037216933","https://openalex.org/W3042933311","https://openalex.org/W3124794156","https://openalex.org/W3124814274","https://openalex.org/W3159101980","https://openalex.org/W3160682313","https://openalex.org/W3165591717","https://openalex.org/W3170236416","https://openalex.org/W3177020879","https://openalex.org/W3198138654","https://openalex.org/W3215470628","https://openalex.org/W3217269327","https://openalex.org/W4200379876","https://openalex.org/W4213420809","https://openalex.org/W4226195189","https://openalex.org/W4281759935","https://openalex.org/W4285251995","https://openalex.org/W4295521014","https://openalex.org/W4313236841","https://openalex.org/W4313312269","https://openalex.org/W4319049324","https://openalex.org/W4320013936","https://openalex.org/W4365999366","https://openalex.org/W4379384029","https://openalex.org/W4385348253","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6748655329","https://openalex.org/W6851905747","https://openalex.org/W6855148359"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deep":[0],"learning":[1,53,99],"methods":[2,164],"for":[3,68,105],"RNA":[4,19],"sequencing":[5,20],"data":[6,39,65],"have":[7],"exploded":[8],"in":[9,32,165],"the":[10,15,24,33,49,64,106,134,138,146],"recent":[11],"years":[12],"due":[13],"to":[14,42,62,94,148,154],"advent":[16],"of":[17,26,35,51,102,108,121,127,137],"singlecell":[18],"(scRNA-seq),":[21],"which":[22],"enables":[23],"study":[25],"multiple":[27],"cells":[28,61,88,114,120,126,152],"per-patient":[29],"simultaneously.":[30],"However,":[31],"case":[34],"rare":[36,129,139,166],"cell":[37],"types,":[38],"scarcity":[40],"continues":[41],"exist,":[43],"posing":[44],"several":[45],"challenges,":[46],"while":[47],"preventing":[48],"exploitation":[50],"deep":[52],"models\u2019":[54],"full":[55],"predictive":[56],"power.":[57],"Generating":[58,125],"realistic":[59,86,118,150],"synthetic":[60,87,119,151],"augment":[63],"could":[66],"allow":[67],"more":[69],"informative":[70],"subsequent":[71],"downstream":[72],"analyses.":[73],"Herein,":[74],"we":[75],"introduce":[76],"Mask-cscGAN,":[77],"a":[78,100,109,128],"conditional":[79],"generative":[80],"adversarial":[81],"network":[82],"(GAN)":[83],"that":[84],"generates":[85,117],"with":[89,160],"desired":[90,122],"characteristics":[91],"managing":[92],"also":[93],"model":[95],"genes\u2019":[96],"sparsity":[97],"through":[98],"mask":[101],"zeros.":[103],"Employed":[104],"augmentation":[107,159],"glioblastoma":[110],"multiforme":[111],"(GBM)":[112],"malignant":[113],"dataset,":[115],"Mask-cscGAN":[116,132],"cancer":[123,130,140,156,167],"subtypes.":[124],"subtype,":[131],"improves":[133],"classification":[135],"performance":[136],"subtype":[141,168],"by":[142],"12.29%.":[143],"MaskcscGAN":[144,161],"is":[145],"first":[147],"generate":[149],"belonging":[153],"specified":[155],"subtypes,":[157],"and":[158],"outperforms":[162],"state-of-the-art":[163],"classification.":[169]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}