{"id":"https://openalex.org/W2890905032","doi":"https://doi.org/10.1109/jcsse.2018.8457360","title":"ICGdb: An Integrative Cancer Genomic Database","display_name":"ICGdb: An Integrative Cancer Genomic Database","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2890905032","doi":"https://doi.org/10.1109/jcsse.2018.8457360","mag":"2890905032"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2018.8457360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2018.8457360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5085998096","display_name":"Nilubon Kurubanjerdjit","orcid":"https://orcid.org/0000-0002-3038-3837"},"institutions":[{"id":"https://openalex.org/I34002243","display_name":"Mae Fah Luang University","ror":"https://ror.org/00mwhaw71","country_code":"TH","type":"education","lineage":["https://openalex.org/I34002243"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nilubon Kurubanjerdjit","raw_affiliation_strings":["IQ-D Research Unit, Mae Fah Luang University, Chiangrai, Thailand"],"affiliations":[{"raw_affiliation_string":"IQ-D Research Unit, Mae Fah Luang University, Chiangrai, Thailand","institution_ids":["https://openalex.org/I34002243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085998096"],"corresponding_institution_ids":["https://openalex.org/I34002243"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08407095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T11482","display_name":"RNA modifications and cancer","score":0.9979000091552734,"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/epigenomics","display_name":"Epigenomics","score":0.6241738200187683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5896081328392029},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5486763119697571},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5163275599479675},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.4442160427570343},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4276518225669861},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.4273306727409363},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39266565442085266},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.337081640958786},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.27953052520751953},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20779123902320862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12128153443336487},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10029783844947815},{"id":"https://openalex.org/keywords/dna-methylation","display_name":"DNA methylation","score":0.08831700682640076},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07000866532325745}],"concepts":[{"id":"https://openalex.org/C121912465","wikidata":"https://www.wikidata.org/wiki/Q3589153","display_name":"Epigenomics","level":5,"score":0.6241738200187683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5896081328392029},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5486763119697571},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5163275599479675},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.4442160427570343},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4276518225669861},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.4273306727409363},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39266565442085266},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.337081640958786},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.27953052520751953},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20779123902320862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12128153443336487},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10029783844947815},{"id":"https://openalex.org/C190727270","wikidata":"https://www.wikidata.org/wiki/Q874745","display_name":"DNA methylation","level":4,"score":0.08831700682640076},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07000866532325745},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse.2018.8457360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2018.8457360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W150920579","https://openalex.org/W1980937575","https://openalex.org/W1990315216","https://openalex.org/W1992588518","https://openalex.org/W1994616051","https://openalex.org/W2044351959","https://openalex.org/W2077576784","https://openalex.org/W2102140136","https://openalex.org/W2122683221","https://openalex.org/W2130410032","https://openalex.org/W2130479394","https://openalex.org/W2133263564","https://openalex.org/W2147692258","https://openalex.org/W2152495216","https://openalex.org/W2152656267","https://openalex.org/W2154947819","https://openalex.org/W2163485494","https://openalex.org/W2164194749","https://openalex.org/W2164928285","https://openalex.org/W2165533101","https://openalex.org/W2177550115","https://openalex.org/W2214074259","https://openalex.org/W2558715006","https://openalex.org/W2561459221","https://openalex.org/W2736520162","https://openalex.org/W2767546566","https://openalex.org/W4210705044","https://openalex.org/W4249273120","https://openalex.org/W6681542089"],"related_works":["https://openalex.org/W2795212387","https://openalex.org/W2988805143","https://openalex.org/W4285490847","https://openalex.org/W3201524181","https://openalex.org/W2101726782","https://openalex.org/W3131932045","https://openalex.org/W1931295451","https://openalex.org/W3035076328","https://openalex.org/W3119866144","https://openalex.org/W4296503638"],"abstract_inverted_index":{"The":[0,79],"major":[1],"goals":[2],"of":[3,13,29,64,67,100],"the":[4,23,27,56,101,112],"ICGdb":[5,57],"are":[6,48],"1)":[7],"to":[8,37],"provide":[9],"a":[10],"one":[11],"site":[12],"current":[14,42,84],"genomic":[15,65,75],"cancer":[16,30],"information":[17],"gathering":[18],"from":[19,40,92],"various":[20],"resources":[21],"for":[22,82],"future":[24,44,86],"studies":[25],"on":[26],"discovering":[28],"biomarker":[31,99],"and":[32,35,43,76,85,111],"efficient":[33],"drugs":[34,114],"2)":[36],"collect":[38],"findings":[39],"our":[41,83],"research":[45,87],"works.":[46],"There":[47],"two":[49],"main":[50],"contributions":[51],"in":[52],"this":[53,93],"study,":[54],"firstly,":[55],"was":[58],"constructed":[59],"by":[60,107],"integrating":[61],"essential":[62],"pieces":[63],"data":[66],"more":[68],"than":[69],"30":[70],"tumors":[71],"or":[72],"diseases":[73],"including":[74],"epigenomics":[77],"information.":[78],"input":[80],"datasets":[81],"works":[88],"will":[89],"be":[90],"extracted":[91],"database.":[94],"Secondly,":[95],"protein":[96],"complexes":[97],"as":[98],"six":[102],"tumor":[103],"types":[104],"were":[105,115],"identified":[106],"network":[108],"clustering":[109],"approach":[110],"target":[113],"also":[116],"investigated.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}