{"id":"https://openalex.org/W2576357015","doi":"https://doi.org/10.1109/bibm.2016.7822703","title":"Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm","display_name":"Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2576357015","doi":"https://doi.org/10.1109/bibm.2016.7822703","mag":"2576357015"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2016.7822703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002718976","display_name":"Jincai Yang","orcid":"https://orcid.org/0000-0002-4446-5809"},"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":"Jincai Yang","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000590734","display_name":"Huichao Gu","orcid":null},"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":"Huichao Gu","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, 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 Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066720367","display_name":"Qingyang Huang","orcid":"https://orcid.org/0000-0001-8274-4588"},"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":"Qingyang Huang","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","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 Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101496385","display_name":"Xianjun Shen","orcid":"https://orcid.org/0000-0001-5714-8848"},"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":"Xianjun Shen","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"467","issue":null,"first_page":"1283","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","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/T10887","display_name":"Bioinformatics and Genomic Networks","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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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":0.9937999844551086,"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/genome-wide-association-study","display_name":"Genome-wide association study","score":0.7141320109367371},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.6826123595237732},{"id":"https://openalex.org/keywords/osteoporosis","display_name":"Osteoporosis","score":0.624028205871582},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6103416681289673},{"id":"https://openalex.org/keywords/snp","display_name":"SNP","score":0.4867696762084961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48511016368865967},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44702860713005066},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4265247583389282},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.41104185581207275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3620246350765228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3434232473373413},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3253920078277588},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3075903654098511},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.19978675246238708},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15358933806419373},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15295317769050598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15042701363563538},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07741507887840271},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.06728273630142212}],"concepts":[{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.7141320109367371},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.6826123595237732},{"id":"https://openalex.org/C2776541429","wikidata":"https://www.wikidata.org/wiki/Q165328","display_name":"Osteoporosis","level":2,"score":0.624028205871582},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6103416681289673},{"id":"https://openalex.org/C139275648","wikidata":"https://www.wikidata.org/wiki/Q17134011","display_name":"SNP","level":5,"score":0.4867696762084961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48511016368865967},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44702860713005066},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4265247583389282},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.41104185581207275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3620246350765228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3434232473373413},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3253920078277588},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3075903654098511},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.19978675246238708},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15358933806419373},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15295317769050598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15042701363563538},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07741507887840271},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.06728273630142212},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2016.7822703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W128754594","https://openalex.org/W2001280003","https://openalex.org/W2001636656","https://openalex.org/W2010018635","https://openalex.org/W2027448315","https://openalex.org/W2037046278","https://openalex.org/W2048263136","https://openalex.org/W2079177924","https://openalex.org/W2083045667","https://openalex.org/W2085315537","https://openalex.org/W2096791516","https://openalex.org/W2097498614","https://openalex.org/W2104261859","https://openalex.org/W2107916366","https://openalex.org/W2110705561","https://openalex.org/W2116868464","https://openalex.org/W2117446594","https://openalex.org/W2117652972","https://openalex.org/W2119220491","https://openalex.org/W2133840682","https://openalex.org/W2144857133","https://openalex.org/W2292809176","https://openalex.org/W2342878310"],"related_works":["https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2350430350","https://openalex.org/W2623725391","https://openalex.org/W102063058"],"abstract_inverted_index":{"While":[0],"much":[1],"progress":[2],"has":[3],"been":[4],"made":[5],"on":[6,48,87,103],"the":[7,13,39,49,68,72,81,88,98,117,120,124,131,135,147],"genetic":[8],"analysis":[9],"of":[10,21,57,71,83,91,106,119,127,150],"osteoporosis":[11,29,44,51,77,92,151],"in":[12],"past":[14],"20":[15],"years,":[16],"there":[17],"are":[18,26],"a":[19,141],"lot":[20],"genes":[22,70,79],"and":[23,108,130],"SNPs":[24,41,75,101,149],"that":[25,134],"associated":[27,42,69],"with":[28,43,123],"through":[30,110],"GWAS.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,65,96],"aim":[36],"to":[37,145],"identify":[38,66,146],"risky":[40,74,148],"by":[45,80],"algorithms":[46],"based":[47,102],"known":[50],"GWAS-associated":[52,78,93,128],"SNPs.":[53],"The":[54],"whole":[55],"framework":[56,122],"our":[58],"prediction":[59,121],"method":[60,82,136],"includes":[61],"two":[62],"steps:":[63],"Firstly,":[64],"whether":[67],"suspected":[73],"is":[76,137],"random":[84],"walk":[85],"algorithm":[86],"PPI":[89],"network":[90],"genes.":[94],"Then,":[95],"classify":[97],"positive":[99],"result":[100,132],"their":[104],"features":[105],"position":[107],"function":[109],"ID3":[111],"decision":[112],"tree":[113],"algorithm.":[114],"We":[115],"verify":[116],"accuracy":[118],"data":[125],"set":[126],"SNPs,":[129],"shows":[133],"feasible.":[138],"It":[139],"provides":[140],"more":[142],"convenient":[143],"way":[144],"associated.":[152]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
