{"id":"https://openalex.org/W2010199482","doi":"https://doi.org/10.1109/bibm.2014.6999385","title":"Sparse gene expression data analysis based on truncated power","display_name":"Sparse gene expression data analysis based on truncated power","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2010199482","doi":"https://doi.org/10.1109/bibm.2014.6999385","mag":"2010199482"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5031392245","display_name":"Ningmin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningmin Shen","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763412","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-1495-3545"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003390049","display_name":"Cheng Jin","orcid":"https://orcid.org/0000-0001-5611-0637"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032422188","display_name":"Pei\u2010Yun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyun Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China, 210016","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07266969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8285112977027893},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8225825428962708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6829800605773926},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.581774890422821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5531119108200073},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5371559262275696},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.525597095489502},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4941442310810089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4786592423915863},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.45432913303375244},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45275118947029114},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44234806299209595},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.41200053691864014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32857993245124817}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8285112977027893},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8225825428962708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6829800605773926},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.581774890422821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5531119108200073},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5371559262275696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.525597095489502},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4941442310810089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4786592423915863},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.45432913303375244},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45275118947029114},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44234806299209595},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.41200053691864014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32857993245124817},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":22,"referenced_works":["https://openalex.org/W1522253694","https://openalex.org/W1561994953","https://openalex.org/W1975900269","https://openalex.org/W2044809283","https://openalex.org/W2095457976","https://openalex.org/W2097417531","https://openalex.org/W2099242680","https://openalex.org/W2109675189","https://openalex.org/W2113600901","https://openalex.org/W2117825844","https://openalex.org/W2123688186","https://openalex.org/W2125310307","https://openalex.org/W2137404238","https://openalex.org/W2145955247","https://openalex.org/W2148980251","https://openalex.org/W2155120241","https://openalex.org/W2155974384","https://openalex.org/W2161160262","https://openalex.org/W2185648388","https://openalex.org/W2615253071","https://openalex.org/W2950232131","https://openalex.org/W3023475584"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2883439616","https://openalex.org/W4234877896","https://openalex.org/W2531264786","https://openalex.org/W3142002785","https://openalex.org/W2014683590","https://openalex.org/W3165355909"],"abstract_inverted_index":{"Cluster":[0],"analysis":[1],"has":[2],"become":[3],"a":[4,39,67,103],"popular":[5],"method":[6,69,106,136],"for":[7,15,70,137,149],"gene":[8,34,138,158,164],"expression":[9,35],"data,":[10],"which":[11,73,111],"can":[12,74,112,166],"be":[13],"used":[14],"the":[16,24,48,51,54,87,93,114,122,133,141,152,162,168],"diagnosis":[17],"of":[18,33,41,50,53,84,89,98,116,126],"diseases":[19],"accurately":[20],"and":[21,30,170],"rapidly":[22],"through":[23],"class":[25],"label.":[26],"However,":[27],"more":[28],"attributes":[29],"less":[31],"samples":[32],"data":[36,78,165],"will":[37],"produce":[38],"mass":[40],"redundant":[42],"or":[43],"disturbed":[44],"information,":[45],"resulting":[46],"in":[47],"decline":[49],"accuracy":[52,171],"direct":[55],"clustering":[56,173],"acting":[57],"on":[58,108,155,172],"high":[59,76],"dimensional":[60],"data.":[61],"Principal":[62],"Component":[63],"Analysis":[64],"(PCA)":[65],"is":[66,86],"classical":[68],"dimension":[71,77],"reduction":[72],"transform":[75],"into":[79,132,146],"low":[80],"space.":[81],"The":[82],"shortcoming":[83],"PCA":[85,105],"lack":[88],"strong":[90],"interpretation":[91],"because":[92],"loadings":[94,117],"have":[95],"no":[96],"characteristic":[97],"sparsity.":[99],"In":[100],"this":[101],"paper,":[102],"sparse":[104,142,163],"based":[107],"Truncated":[109],"Power,":[110],"minimizes":[113],"cardinality":[115],"as":[118,120],"well":[119],"maximizes":[121],"percentage":[123],"explained":[124],"variances":[125],"principal":[127],"components":[128],"(PCs),":[129],"was":[130,144],"applied":[131],"feature":[134],"extraction":[135],"expression,":[139],"then":[140],"PCs":[143],"fed":[145],"K-means":[147],"process":[148],"clustering.":[150],"Finally,":[151],"experimental":[153],"results":[154],"three":[156],"typical":[157],"datasets":[159],"verify":[160],"that":[161],"improve":[167],"efficiency":[169],"analysis.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
