{"id":"https://openalex.org/W2406501214","doi":"https://doi.org/10.5220/0004642100910098","title":"Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder","display_name":"Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2406501214","doi":"https://doi.org/10.5220/0004642100910098","mag":"2406501214"},"language":"en","primary_location":{"id":"doi:10.5220/0004642100910098","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004642100910098","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004642100910098","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064952575","display_name":"Swetha S. Bobba","orcid":"https://orcid.org/0000-0001-5436-2048"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Swetha S. Bobba","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040086890","display_name":"Amin Zollanvari","orcid":"https://orcid.org/0000-0002-9172-8413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amin Zollanvari","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076921758","display_name":"Gil Alterovitz","orcid":"https://orcid.org/0000-0002-0495-7059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gil Alterovitz","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064952575"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28301887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10854","display_name":"Bipolar Disorder and Treatment","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10854","display_name":"Bipolar Disorder and Treatment","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9513999819755554,"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":0.9361000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6057204604148865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5793485641479492},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3951016068458557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3787840008735657},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14266479015350342}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6057204604148865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793485641479492},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3951016068458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3787840008735657},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14266479015350342}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004642100910098","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004642100910098","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004642100910098","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004642100910098","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4099999964237213,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Integrative":[0],"approaches":[1],"that":[2],"incorporate":[3],"multiple":[4,144],"experiments":[5,31,145],"have":[6],"shown":[7],"a":[8,19,48,51,61],"potential":[9],"application":[10],"in":[11,118,138],"the\r\n\r\ndiscovery":[12],"of":[13,40,63,90,99,152],"disease-related":[14],"attributes.":[15,42],"This":[16],"study":[17,102,120],"presents":[18],"unique,":[20],"data-driven,":[21],"integrative,":[22],"Bayesian\r\n\r\napproach":[23],"to":[24,70,141],"merge":[25],"gene":[26],"expression":[27],"data":[28],"from":[29,143],"various":[30,153],"into":[32],"prognostic":[33,44,66],"models":[34,45,67],"and":[35,50,79,107,124,133,155],"evaluate\r\n\r\nthem":[36],"for":[37,76,126,146],"the":[38,72,77,94,127,139,147,158],"discovery":[39],"bipolar-related":[41],"Two":[43],"were":[46,68],"constructed:":[47],"singlystructured\r\n\r\nBayesian":[49],"Bayesian":[52],"multi-net":[53,85],"model,":[54],"which":[55],"differentiated":[56],"Bipolar":[57],"disease":[58,78,159],"state":[59,160],"at":[60],"higher\r\n\r\nlevel":[62],"abstraction.":[64],"These":[65],"evaluated":[69],"find":[71],"most":[73],"common":[74],"attributes\r\n\r\nresponsible":[75],"their":[80],"AUROC,":[81],"using":[82],"external":[83],"crossvalidation.\r\n\r\nThe":[84],"model":[86],"achieved":[87],"an":[88,97],"AUROC":[89,98],"0.907":[91],"significantly":[92],"outperforming":[93],"single-structured":[95],"model\r\n\r\nwith":[96],"0.631.":[100],"The":[101],"found":[103],"six":[104],"new":[105],"genes":[106],"five":[108],"chromosomal":[109],"regions":[110],"associated":[111],"with\r\n\r\nthe":[112],"bipolar":[113],"state.":[114],"Enrichment":[115],"analysis":[116],"performed":[117],"this":[119,131],"revealed":[121],"biological":[122],"concepts":[123],"proteins\r\n\r\nresponsible":[125],"disease.":[128],"We":[129],"anticipate":[130],"method":[132],"results":[134],"will":[135],"be":[136],"used":[137],"future":[140],"integrate\r\n\r\ninformation":[142],"same":[148],"or":[149],"related":[150],"phenotypes":[151],"diseases":[154],"also":[156],"to\r\n\r\npredict":[157],"earlier.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
