{"id":"https://openalex.org/W4206655064","doi":"https://doi.org/10.1145/3473258.3473274","title":"Identifying Hub Genes and Key Pathways Associated with Thyroid Cancer by Integrated Bioinformatics Analysis","display_name":"Identifying Hub Genes and Key Pathways Associated with Thyroid Cancer by Integrated Bioinformatics Analysis","publication_year":2021,"publication_date":"2021-05-21","ids":{"openalex":"https://openalex.org/W4206655064","doi":"https://doi.org/10.1145/3473258.3473274"},"language":"en","primary_location":{"id":"doi:10.1145/3473258.3473274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473258.3473274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Bioinformatics and Biomedical Technology","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/A5018882717","display_name":"Jingyan Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Diao","raw_affiliation_strings":["Nanjing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Forestry University, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110957100","display_name":"Degang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degang Zhu","raw_affiliation_strings":["Nanjing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Forestry University, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29821619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9968000054359436,"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":0.9968000054359436,"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/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.9747999906539917,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9592999815940857,"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/kegg","display_name":"KEGG","score":0.7679671049118042},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.6216088533401489},{"id":"https://openalex.org/keywords/venn-diagram","display_name":"Venn diagram","score":0.574811577796936},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5522918701171875},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.4746559262275696},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4492189586162567},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.4437868595123291},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene ontology","score":0.3578808903694153},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.23177331686019897},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.22314107418060303}],"concepts":[{"id":"https://openalex.org/C152724338","wikidata":"https://www.wikidata.org/wiki/Q909442","display_name":"KEGG","level":5,"score":0.7679671049118042},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.6216088533401489},{"id":"https://openalex.org/C55508974","wikidata":"https://www.wikidata.org/wiki/Q190763","display_name":"Venn diagram","level":2,"score":0.574811577796936},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5522918701171875},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.4746559262275696},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4492189586162567},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.4437868595123291},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.3578808903694153},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.23177331686019897},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.22314107418060303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3473258.3473274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473258.3473274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Bioinformatics and Biomedical Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2035618305","https://openalex.org/W2103912979","https://openalex.org/W2136850043","https://openalex.org/W2159675211"],"related_works":["https://openalex.org/W2551839783","https://openalex.org/W4386401670","https://openalex.org/W2956207900","https://openalex.org/W2790781282","https://openalex.org/W4313887725","https://openalex.org/W2334025507","https://openalex.org/W4296124993","https://openalex.org/W2939010697","https://openalex.org/W1970486251","https://openalex.org/W4229451835"],"abstract_inverted_index":{"Objective:":[0],"To":[1],"identify":[2],"thyroid":[3,123,151],"cancer":[4,124,152],"hub":[5,107,128],"genes":[6,44,47,111,129,141,162],"and":[7,12,20,34,71,85,90,97,126,142,148,163,171],"key":[8,140],"pathways":[9,143,164],"using":[10],"survival":[11,52,120,135],"bioinformatics":[13,137],"analysis.":[14,94],"Methods:":[15],"Two":[16],"data":[17],"sets":[18],"GSE138198":[19],"GSE53072":[21],"from":[22,58],"the":[23,62,106,134,139,146],"Gene":[24,80],"Expression":[25],"Omnibus":[26],"(GEO)":[27],"database":[28],"together":[29],"with":[30,50,118],"GEO2R":[31],"online":[32,74],"software":[33],"Venn":[35],"Diagrams":[36],"are":[37,54,76,112,130,165],"used":[38,77],"to":[39,78,99,104,114,168],"screen":[40],"out":[41,57],"differentially":[42],"expressed":[43],"(DEGs).":[45],"Some":[46],"significantly":[48,116],"associated":[49],"overall":[51,119],"time":[53,121],"further":[55],"screened":[56,155],"these":[59,161],"DEGs":[60],"by":[61],"Kaplan-Meier":[63],"plotter.":[64],"The":[65],"DAVID":[66],"(Database":[67],"for":[68],"Annotation,":[69],"Visualization":[70],"Integrated":[72],"Discovery)":[73],"tools":[75],"perform":[79],"Ontology":[81],"(GO)":[82],"enrichment":[83],"analysis":[84],"Kyoto":[86],"Encyclopedia":[87],"of":[88,122,150],"Genes":[89],"Genomes":[91],"(KEGG)":[92],"pathway":[93],"Using":[95],"STRING":[96],"Cytoscape":[98],"make":[100],"PPI":[101],"network":[102],"diagrams":[103],"obtain":[105],"genes.":[108],"Results:":[109],"127":[110],"found":[113],"be":[115],"correlated":[117],"patients":[125],"10":[127],"identified.":[131],"Conclusion:":[132],"Through":[133],"analysis-based":[136],"method,":[138],"involved":[144],"in":[145],"occurrence":[147],"development":[149],"have":[153],"been":[154],"out.":[156],"It":[157],"is":[158],"shown":[159],"that":[160],"mainly":[166],"related":[167],"Nucleosome":[169],"function":[170],"cell":[172],"differentiation.":[173]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}