{"id":"https://openalex.org/W2913483642","doi":"https://doi.org/10.1109/bibm.2018.8621461","title":"An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies","display_name":"An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913483642","doi":"https://doi.org/10.1109/bibm.2018.8621461","mag":"2913483642"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5087942458","display_name":"Qiang Zhu","orcid":"https://orcid.org/0000-0002-2405-6776"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Zhu","raw_affiliation_strings":["School of Information Management, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002702669","display_name":"Min Pan","orcid":"https://orcid.org/0000-0002-2901-3388"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Pan","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720848","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0003-3329-6795"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019913931","display_name":"Bojing Li","orcid":"https://orcid.org/0000-0003-1330-7565"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bojing Li","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010131","display_name":"Tingting He","orcid":"https://orcid.org/0000-0001-7523-6550"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003550654","display_name":"Xingpeng Jiang","orcid":"https://orcid.org/0000-0002-8848-9300"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingpeng Jiang","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5087942458"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.7354,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10066","display_name":"Gut microbiota and health","score":0.995199978351593,"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/T10066","display_name":"Gut microbiota and health","score":0.995199978351593,"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":0.9951000213623047,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.991100013256073,"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/interpretability","display_name":"Interpretability","score":0.8425101041793823},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7865539789199829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7569637298583984},{"id":"https://openalex.org/keywords/metagenomics","display_name":"Metagenomics","score":0.741183876991272},{"id":"https://openalex.org/keywords/microbiome","display_name":"Microbiome","score":0.7195911407470703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7043671011924744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340528726577759},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.600560188293457},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5199809670448303},{"id":"https://openalex.org/keywords/human-microbiome","display_name":"Human microbiome","score":0.48086172342300415},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.47264614701271057},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3616137206554413},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3568011522293091},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2887512445449829},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2580637037754059},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.0976734459400177}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8425101041793823},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7865539789199829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7569637298583984},{"id":"https://openalex.org/C15151743","wikidata":"https://www.wikidata.org/wiki/Q903778","display_name":"Metagenomics","level":3,"score":0.741183876991272},{"id":"https://openalex.org/C143121216","wikidata":"https://www.wikidata.org/wiki/Q1330402","display_name":"Microbiome","level":2,"score":0.7195911407470703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7043671011924744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340528726577759},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.600560188293457},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5199809670448303},{"id":"https://openalex.org/C91478284","wikidata":"https://www.wikidata.org/wiki/Q6623796","display_name":"Human microbiome","level":3,"score":0.48086172342300415},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.47264614701271057},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3616137206554413},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3568011522293091},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2887512445449829},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2580637037754059},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0976734459400177},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W144440563","https://openalex.org/W162848086","https://openalex.org/W1501213224","https://openalex.org/W1703384511","https://openalex.org/W1922017469","https://openalex.org/W1964027278","https://openalex.org/W1993784588","https://openalex.org/W1996202672","https://openalex.org/W2027946048","https://openalex.org/W2028582941","https://openalex.org/W2028963044","https://openalex.org/W2038802458","https://openalex.org/W2071841602","https://openalex.org/W2072020668","https://openalex.org/W2075333494","https://openalex.org/W2100080086","https://openalex.org/W2117004913","https://openalex.org/W2133856765","https://openalex.org/W2143426320","https://openalex.org/W2152751713","https://openalex.org/W2157490046","https://openalex.org/W2165250079","https://openalex.org/W2395461901","https://openalex.org/W2413207665","https://openalex.org/W2463312000","https://openalex.org/W2469986620","https://openalex.org/W2473355215","https://openalex.org/W2502949459","https://openalex.org/W2528898077","https://openalex.org/W2530623388","https://openalex.org/W2592340788","https://openalex.org/W2609405928","https://openalex.org/W2611882427","https://openalex.org/W2726093206","https://openalex.org/W2794932993","https://openalex.org/W2795896985","https://openalex.org/W2963776453","https://openalex.org/W4205699531","https://openalex.org/W6605866200","https://openalex.org/W6750320783"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2188759683","https://openalex.org/W1222064643","https://openalex.org/W4400876926","https://openalex.org/W4317376680","https://openalex.org/W4360777922","https://openalex.org/W2017030127","https://openalex.org/W1577826155"],"abstract_inverted_index":{"With":[0],"the":[1,19,47,53,58,61,64,84,87,91,120,208,228],"rapid":[2],"advancement":[3],"of":[4,52,60,93,122,135,144,178],"DNA":[5],"sequencing,":[6],"metagenomics":[7],"and":[8,22,28,40,50,63,96,124,155,170,211,243],"metatranscriptomics":[9],"have":[10,73,107],"made":[11],"great":[12],"progress,":[13],"which":[14,32,81,117],"deepen":[15],"our":[16],"understanding":[17],"on":[18,25,110,159],"human":[20,26,94],"microbiome":[21,85,209],"its":[23],"impact":[24],"health":[27,95],"diseases.":[29,97],"The":[30],"microbiome,":[31],"is":[33,182],"characterized":[34],"by":[35],"small":[36],"samples,":[37],"high":[38],"dimensions":[39],"complicated":[41],"relationships":[42],"with":[43,86,114],"hosts,":[44],"refers":[45],"to":[46,76,127,175,184,206,236],"species,":[48],"genes":[49],"genomes":[51],"microbiota,":[54],"as":[55,57,90,102,166],"well":[56,158],"products":[59],"microbiota":[62],"host":[65],"environment.":[66],"In":[67,194,233],"fact,":[68],"many":[69],"machine":[70,230],"learning":[71,113,146,188,201,231],"methods":[72,100],"been":[74],"used":[75,150],"conduct":[77],"Microbiome-Wide":[78],"Association":[79],"Studies":[80],"can":[82,118,156],"link":[83],"phenotypes,":[88],"such":[89,101],"status":[92],"However,":[98],"existing":[99],"Support":[103],"Vector":[104],"Machines":[105],"(SVMs)":[106],"some":[108],"limitations":[109],"deep":[111,115,145,187,200],"representation":[112,160],"architectures":[116],"promote":[119],"reuse":[121],"features":[123,131],"potentially":[125],"lead":[126],"progressively":[128],"more":[129],"abstract":[130],"at":[132],"higher":[133],"layers":[134],"representations.":[136],"Recently,":[137],"Deep":[138,204,225,238],"Neural":[139],"Networks":[140],"(DNNs),":[141],"a":[142,167,199],"kind":[143],"models,":[147],"are":[148,164],"widely":[149],"for":[151,190,218],"metagenomic":[152,191],"data":[153,192],"analysis":[154],"perform":[157],"learning.":[161],"But":[162],"they":[163],"considered":[165],"black":[168],"box":[169],"sufferring":[171],"from":[172],"criticisms":[173],"due":[174],"theirs":[176],"lacking":[177],"interpretability.":[179],"Thus,":[180],"it":[181],"interesting":[183],"explore":[185],"other":[186],"models":[189],"analysis.":[193],"this":[195],"work,":[196],"we":[197,212],"introduce":[198],"model":[202],"called":[203],"Forest":[205,226,239],"study":[207],"associations":[210],"also":[213],"present":[214],"an":[215],"ensemble":[216],"method":[217],"feature":[219],"selection.":[220],"Experimental":[221],"results":[222],"show":[223],"that":[224],"outperforms":[227],"traditional":[229],"methods.":[232],"addition,":[234],"compared":[235],"DNNs,":[237],"has":[240],"better":[241],"interpretability":[242],"less":[244],"hyperparameters.":[245]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}