{"id":"https://openalex.org/W4288421458","doi":"https://doi.org/10.1145/3535508.3545506","title":"Optimal separation of high dimensional transcriptome for complex multigenic traits","display_name":"Optimal separation of high dimensional transcriptome for complex multigenic traits","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288421458","doi":"https://doi.org/10.1145/3535508.3545506"},"language":"en","primary_location":{"id":"doi:10.1145/3535508.3545506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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/A5022471155","display_name":"Aisharjya Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aisharjya Sarkar","raw_affiliation_strings":["University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102781536","display_name":"Aaditya Singh","orcid":"https://orcid.org/0009-0004-5461-9594"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aaditya Singh","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068411485","display_name":"Richard Bailey","orcid":"https://orcid.org/0000-0003-4650-6392"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Bailey","raw_affiliation_strings":["University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008335723","display_name":"Alin Dobra","orcid":"https://orcid.org/0000-0003-2033-9952"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alin Dobra","raw_affiliation_strings":["University of Florida Gainesville"],"affiliations":[{"raw_affiliation_string":"University of Florida Gainesville","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091769289","display_name":"Tamer Kahveci","orcid":"https://orcid.org/0000-0002-4403-8612"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tamer Kahveci","raw_affiliation_strings":["University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022471155"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07421891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9987999796867371,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9987999796867371,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9979000091552734,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.7213894724845886},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.718929648399353},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6145004034042358},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5556325316429138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4586164951324463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.420382559299469},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4167788028717041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40143847465515137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.344590961933136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213894724845886},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.718929648399353},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6145004034042358},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5556325316429138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4586164951324463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.420382559299469},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4167788028717041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40143847465515137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.344590961933136},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535508.3545506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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":23,"referenced_works":["https://openalex.org/W798726819","https://openalex.org/W1800724332","https://openalex.org/W1996311090","https://openalex.org/W2015933146","https://openalex.org/W2054216349","https://openalex.org/W2067761476","https://openalex.org/W2076610093","https://openalex.org/W2092472450","https://openalex.org/W2113095561","https://openalex.org/W2118423420","https://openalex.org/W2134695923","https://openalex.org/W2154941270","https://openalex.org/W2599547448","https://openalex.org/W2735419231","https://openalex.org/W2792199558","https://openalex.org/W2902652978","https://openalex.org/W2903552149","https://openalex.org/W2904854274","https://openalex.org/W2921982558","https://openalex.org/W2943199409","https://openalex.org/W2963437321","https://openalex.org/W2980387214","https://openalex.org/W2998065416"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595","https://openalex.org/W2120026622"],"abstract_inverted_index":{"The":[0],"plight":[1],"of":[2,32,41,55,62,79,97,148],"navigating":[3],"high-dimensional":[4],"transcription":[5],"datasets":[6,57],"remains":[7],"a":[8,49,130,153],"persistent":[9],"problem.":[10],"This":[11],"problem":[12],"is":[13,99,182,199],"further":[14],"amplified":[15],"for":[16,119,124],"complex":[17,125],"disorders,":[18],"such":[19],"as":[20,22,72,111],"cancer,":[21],"these":[23],"disorders":[24],"are":[25,45],"often":[26,46],"multigenic":[27,126],"traits":[28],"with":[29,48,169],"multiple":[30],"subsets":[31],"genes":[33],"collectively":[34],"affecting":[35],"the":[36,42,53,60,77,80,95,102,146,149,162,183],"type,":[37],"stage,":[38],"and":[39,58,176,187],"severity":[40],"trait.":[43],"We":[44,165],"faced":[47],"trade-off":[50],"between":[51,161],"reducing":[52,145],"dimensionality":[54,73,147],"our":[56,63,167],"maintaining":[59],"integrity":[61],"data.":[64],"Almost":[65],"exclusively,":[66],"researchers":[67],"apply":[68],"techniques":[69],"commonly":[70],"known":[71],"reduction":[74],"to":[75,83,86,104,114,191],"reduce":[76],"dimensions":[78,98],"feature":[81],"space":[82,151,156],"allow":[84],"classifiers":[85],"work":[87],"in":[88,196],"more":[89,184],"appropriately":[90],"sized":[91],"input":[92,150],"spaces.":[93],"As":[94],"number":[96],"reduced,":[100],"however,":[101],"ability":[103],"distinguish":[105],"classes":[106],"from":[107],"one":[108],"another":[109],"reduces":[110],"well.":[112],"Thus,":[113],"accomplish":[115],"both":[116,140,174],"tasks":[117,141],"simultaneously":[118,142],"very":[120],"high":[121],"dimensional":[122],"transcriptome":[123],"traits,":[127],"we":[128],"propose":[129],"new":[131],"supervised":[132],"technique,":[133],"Class":[134],"Separation":[135],"Transformation":[136],"(CST).":[137],"CST":[138,181],"accomplishes":[139],"by":[143],"significantly":[144],"into":[152],"one-dimensional":[154],"transformed":[155],"that":[157,180],"provides":[158],"optimal":[159],"separation":[160],"differing":[163],"classes.":[164],"compare":[166],"method":[168],"existing":[170,192],"state-of-the-art":[171],"methods":[172],"using":[173],"real":[175],"synthetic":[177],"datasets,":[178],"demonstrating":[179],"accurate,":[185],"robust,":[186],"scalable":[188],"technique":[189],"relative":[190],"methods.":[193],"Code":[194],"used":[195],"this":[197],"paper":[198],"available":[200],"on":[201],"https://github.com/aisharjya/CST":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}