乐胖代购免代理版

{"id":"https://openalex.org/W2145805672","doi":"https://doi.org/10.1109/ijcnn.2009.5178639","title":"Functional Link Artificial Neural Network-based disease gene prediction","display_name":"Functional Link Artificial Neural Network-based disease gene prediction","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2145805672","doi":"https://doi.org/10.1109/ijcnn.2009.5178639","mag":"2145805672"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5084819396","display_name":"Jiabao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiabao Sun","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049913930","display_name":"Jagdish C. Patra","orcid":"https://orcid.org/0000-0002-6257-0469"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jagdish C. Patra","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101561342","display_name":"Yongjin Li","orcid":"https://orcid.org/0000-0003-4322-308X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongjin Li","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.538,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":24,"citation_normalized_percentile":{"value":0.95054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9992,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9992,"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":0.9987,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9985,"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/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.647251},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.59202826},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4302383}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7940946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.67663115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66004527},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.647251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63739103},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.59202826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46091655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44727355},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4302383}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.57,"id":"https://metadata.un.org/sdg/3"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1541274513","https://openalex.org/W1544324307","https://openalex.org/W1838763289","https://openalex.org/W1891078220","https://openalex.org/W1969673534","https://openalex.org/W1976172155","https://openalex.org/W1976731043","https://openalex.org/W1989684700","https://openalex.org/W2020301095","https://openalex.org/W2053906518","https://openalex.org/W2070448217","https://openalex.org/W2102140136","https://openalex.org/W2103124103","https://openalex.org/W2105813018","https://openalex.org/W2108181223","https://openalex.org/W2116061337","https://openalex.org/W2119195082","https://openalex.org/W2128810507","https://openalex.org/W2134672568","https://openalex.org/W2134711219","https://openalex.org/W2153280946","https://openalex.org/W2153635508","https://openalex.org/W2312181941","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W4387932263","https://openalex.org/W3158157485","https://openalex.org/W2894173309","https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2371065793","https://openalex.org/W2243550366","https://openalex.org/W2157746493","https://openalex.org/W2083196709","https://openalex.org/W2076543106"],"abstract_inverted_index":{"Genes":[0],"that":[1,9,93,116],"contribute":[2],"to":[3,28,51,115],"complex":[4,35],"traits":[5],"pose":[6],"special":[7],"challenges":[8],"make":[10],"candidate":[11],"disease-associated":[12],"gene":[13],"discovery":[14],"more":[15],"difficult.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"investigated":[21],"topological":[22],"features":[23,62,66],"derived":[24],"from":[25],"PPI":[26],"network":[27],"identify":[29],"the":[30,53,65,68,74,103],"causing":[31],"genes":[32],"of":[33,56,60,76,117],"four":[34],"diseases:":[36],"Cancer,":[37],"Type":[38,41],"1":[39],"Diabetes,":[40,43],"2":[42],"and":[44,63,86,100,119],"Ageing":[45],"genes.":[46],"We":[47,72,91],"used":[48],"10-fold":[49],"cross-validation":[50],"evaluate":[52],"predictive":[54,70],"capacity":[55],"all":[57],"possible":[58],"combinations":[59],"these":[61],"found":[64,92],"with":[67],"best":[69],"ability.":[71],"assessed":[73],"performance":[75],"Multi-layer":[77],"Perceptron":[78],"(MLP),":[79],"Functional":[80],"Link":[81],"Artificial":[82],"Neural":[83],"Network":[84],"(FLANN),":[85],"Support":[87],"Vector":[88],"Machines":[89],"(SVM).":[90],"SVM":[94,118],"provides":[95],"higher":[96],"accuracy":[97,112],"than":[98],"MLP":[99],"FLANN.":[101],"However,":[102],"FLANN":[104],"has":[105],"significantly":[106],"low":[107],"computation":[108],"time":[109],"while":[110],"its":[111],"is":[113],"comparable":[114],"MLP.":[120]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2145805672","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4}],"updated_date":"2024-12-10T07:29:40.231069","created_date":"2016-06-24"}