{“id”:“https://openalex.org/W358925763“,”doi“:”https://doi.org/10.1007/978-3642-45062-4_96“,”title“:“用于聚类验证的高斯模糊指数(GFI):高质量生物富集基因簇的识别和一些可能介导肺癌的基因的选择”,“display_name”:“高斯模糊指数”聚类验证:高质量生物富集基因簇的鉴定和一些可能介导肺癌的基因的选择”,“publication_year”:2013,“publitation_date”:“2013-01-01”,“ids”:{“openalex”:“https://openalex.org/W358925763“,”doi“:”https://doi.org/10.1007/978-3642-45062-4_96“,”mag“:”358925763“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3642-45062-4_96“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],”open_access“:{”is_oa“:false”“,”oa_url“:空,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5013183968“,”display_name“:”Anupam Ghosh“,”orcid“:”https://orcid.org/0000-0003-2166-3957“},”机构“:[],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Anupam Ghosh“,”raw_affiliation_strings“:[“印度加尔各答Netaji Subhash工程学院计算机科学与工程系”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5000655826“,”display_name“:”Rajat K.De“,”orcid“:”https://orcid.org/0000-0001-6080-1131},“机构”:[{“id”:https://openalex.org/I6498739“,”display_name“:”印度统计局“,”ror“:”https://ror.org/00q2w1j53“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I6498739“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Rajat K.De“,”raw _ afiliation_strings“:[“印度加尔各答印度统计研究所机器智能部#TAB#”]}]“countries _ distinct_count”:1,“institutions _ disting_count“:1,”corresponding_author_ids“:[],”correcponding_institution_idsvalue“:5000,”currency“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc_payed“:{”value“:5000,”货币“:”欧元“,”价值美元“:5392:”provennce“:”doaj“{,”has_fulltext“:false,”cited_by_count“:1,”cited_by_percentile_year“:{”min“:69,”max“:76},“biblio”:{“volume”:null,“issue”:nully,“first_page”:“680”,“last_page”:“687”},“is_retracted”:false,“is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T10887“,”“display_name”:“基因交互网络分析”,“score”:0.9906,“subfield”:{“id”:“https://openalex.org/subfields/1312“,”display_name“:”分子生物学“},”字段“:{”id“:”https://openalex.org/fields/13“,”“display_name”:“生物化学、遗传学和分子生物学”},“域”:{“id”:“https://openalex.org/domains/1“,”display_name“:”生命科学“}},”主题“:[{”id“:”https://openalex.org/T10887“,”“display_name”:“基因交互网络分析”,“score”:0.9906,“subfield”:{“id”:“https://openalex.org/subfields/1312“,”display_name“:”分子生物学“},”字段“:{”id“:”https://openalex.org/fields/13“,”“display_name”:“生物化学、遗传学和分子生物学”},“域”:{“id”:“https://openalex.org/domains/1“,”display_name“:”生命科学“}},{”id“:”https://openalex.org/T10885“,”“display_name”:“微阵列数据分析和基因表达谱分析”,“score”:0.9842,“subfield”:{“id”:“https://openalex.org/subfields/1312“,”display_name“:”分子生物学“},”字段“:{”id“:”https://openalex.org/fields/13“,”“display_name”:“生物化学、遗传学和分子生物学”},“域”:{“id”:“https://openalex.org/domains/1“,”display_name“:”生命科学“}},{”id“:”https://openalex.org/T10637“,”“display_name”:“数据聚类技术与算法”,“score”:0.9841,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/fuzzy-clustering网站“,”display_name“:”模糊聚类“,”score“:0.619846},{”id“:”https://openalex.org/keywords/cluster验证“,”display_name“:”群集验证“,”score“:0.570415},{”id“:”https://openalex.org/keywords/density-based-clustering网站“,”display_name“:”基于密度的聚类“,”score“:0.517836},{”id“:”https://openalex.org/keywords/gene-set-encrichment-analysis网站“,”display_name“:”基因集富集分析“,”score“:0.512497},{”id“:”https://openalex.org/keywords/clustering网站“,”display_name“:”Clustering“,”score“:0.504681}],”concepts“:[{”id“:”https://openalex.org/C58166,“wikidata”:https://www.wikidata.org/wiki/Q224821“,”display_name“:”模糊逻辑“,”level“:2,”score“:0.6210919},{”id“:”https://openalex.org/C73555534,“wikidata”:https://www.wikidata.org/wiki/Q622825“,”display_name“:”Cluster analysis“,”level“:2,”score“:0.6180416},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.61337245},{”id“:”https://openalex.org/C163716315,“wikidata”:https://www.wikidata.org/wiki/Q901177“,”display_name“:”Gaussian“,”level“:2,”score“:0.56035626},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.52598923},{”id“:”https://openalex.org/C70721500,“wikidata”:https://www.wikidata.org/wiki/Q177005“,”display_name“:”计算生物学“,”level“:1,”score“:0.5040916},{”id“:”https://openalex.org/C177264268,“wikidata”:https://www.wikidata.org/wiki/Q1514741“,”display_name“:”Set(abstract data type)“,”level“:2,”score“:0.49516478},{”id“:”https://openalex.org/C116834253,“wikidata”:https://www.wikidata.org/wiki/Q2039217“,”display_name“:”Identification(biology)“,”level“:2,”score“:0.47339404},{”id“:”https://openalex.org/C104317684,“wikidata”:https://www.wikidata.org/wiki/Q7187“,”display_name“:”Gene“,”level“:2,”score“:0.46052605},{”id“:”https://openalex.org/C42011625,“wikidata”:https://www.wikidata.org/wiki/Q1055058“,”display_name“:”模糊集“,”level“:3,”score“:0.45741743},{”id“:”https://openalex.org/C81917197,“wikidata”:https://www.wikidata.org/wiki/Q628760“,”display_name“:”Selection(genetic algorithm)“,”level“:2,”score“:0.45072177},{”id“:”https://openalex.org/C164866538,“wikidata”:https://www.wikidata.org/wiki/Q367351“,”display_name“:”集群(航天器)“,”级别“:2,”分数“:0.44386008},{”id“:”https://openalex.org/C8415881,“wikidata”:https://www.wikidata.org/wiki/Q6839217“,”display_name“:”微阵列分析技术“,”level“:4,”score“:0.43230468},{”id“:”https://openalex.org/C90559484,“wikidata”:https://www.wikidata.org/wiki/Q778379“,”display_name“:”Expression(computer science)“,”level“:2,”score“:0.41756952},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.28552973},{”id“:”https://openalex.org/C86803240,“wikidata”:https://www.wikidata.org/wiki/Q420“,”display_name“:”生物学“,”等级“:0,”分数“:0.26137218},{”id“:”https://openalex.org/C150194340,“wikidata”:https://www.wikidata.org/wiki/Q26972“,”display_name“:”基因表达式“,”级别“:3,”分数“:0.24888635},{”id“:”https://openalex.org/C54355233,“wikidata”:https://www.wikidata.org/wiki/Q7162“,”display_name“:”Genetics“,”level“:1,”score“:0.23877823},{”id“:”https://openalex.org/C185592680,“wikidata”:https://www.wikidata.org/wiki/Q2329“,”display_name“:”Chemistry“,”level“:0,”score“:0.058722287},{”id“:”https://openalex.org/C59822182,“wikidata”:https://www.wikidata.org/wiki/Q441“,”display_name“:”植物学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C147597530,“wikidata”:https://www.wikidata.org/wiki/Q369472“,”display_name“:”计算化学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3642-45062-4_96“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310319900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:nuld,“is_accepted”:false,“is_published”:false}],“best_oa_location”:null,“sustainable_development_goals”:[{“id”:”https://metadata.un.org/sdg/3“,”score“:0.76,”display_name“:”Good health and wellability“}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:22,”referrenced_works“:【”https://openalex.org/W1519542196","https://openalex.org/W1963678392","https://openalex.org/W1987971958","https://openalex.org/W1996747841","https://openalex.org/W2000771269","https://openalex.org/W2001619934","https://openalex.org/W2017462139","https://openalex.org/W2017695773","https://openalex.org/W2025242337","https://openalex.org/W2025767687","https://openalex.org/W2029064186","https://openalex.org/W2046803845","https://openalex.org/W2051224630","https://openalex.org/W2066910216","https://openalex.org/W2068078765","https://openalex.org/W2082827056","https://openalex.org/W2094510831","https://openalex.org/W2111292279","https://openalex.org/W2113076747","https://openalex.org/W2137686028","https://openalex.org/W2170040895","https://openalex.org/W4211007335“],”related_works“:[”https://openalex.org/W86652014","https://openalex.org/W4388218547","https://openalex.org/W3129895999","https://openalex.org/W3101249758","https://openalex.org/W2392243736","https://openalex.org/W2382079200","https://openalex.org/W2379703849","https://openalex.org/W2374091470","https://openalex.org/W2328518092","https://openalex.org/W1902660783“],”ngrams_url“:”https://api.openalex.org/works/W358925763/ngrams“,”abstract_inverted_index“:{”In“:[0],”this“:[1],”article“:[2],”we“:[3,55],”propose“:[4],”an“:[5],”index“,”:[6],”called“:%7],”Gaussian“:+8],”Fuzzy-index“:[9],”(GFI),“:[10],”based“:[11],”on“:[12,73],”the“:[13,21,74119],”concept“:[14],“of”“:[15,86116],”Fuzzy“:[16],”set“:[17,78],”theory“:[18],”for“:[19],”validating“:[20],”clusters“:[22],”获得“:[23],”通过“:[24],”a“:[25],”聚类“:[26],”算法。“:[27],“This”:[28],“index”:[29],“is”:[30,88],“then”:[31],“used”:[32],“to”:[33,45,50112],“identification”:[34],“some”:[35,58],“genes”:[36,62],“that”:[37],“have”:[38105],“changed”:[39],“quite”:[40],“significally”:[41],“from”:[42,63],“normal”:[43],“stage”“:[44,47],”患病“:[46],”with“:[48,80,90],”respect“:[49],”their“:[51],”expression“:[52,66,76],”模式。“:[53],”因此“:[54],”可以“:[56],”预测“:[57],”可能“:[59],”疾病“:[60],”调解“:[61],”微阵列“:[64],”基因“:[65,75],”数据。“:[67],”The“:[68,84,96],”methodology“:[69],”has“:[70],”been“:[71],”demoved“:[72],”data“:[77],”transing“:[79],”human“:[81],”lung“:[82],”cancer“。“:[83],”性能“:[85],”GFI“:[87117],”比较“:[89],”8“:[91],”现有“:[92],”集群“:[93109],”有效性“:[94110],”索引。“:[95],”结果“:[97],”是“:[98],”适当“:[99],”验证“:[100],”使用“:[101],”生化“:[102],”途径。“:[103],“我们”:[104],“也”:[106],“实现”:[107],“不同”:[108],“指数”:[111],“证明”:[113],“优越”:[114],“能力”:[115],“超过”:[118],“其他。“:[120]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W358925763“,”counts_by_year“:[{”年“:2015,”cited_by_count“:1}],”更新日期“:”2024-05-20T00:09:56.305473“,”创建日期“:“2016-06-24”}