{"id":"https://openalex.org/W2400905669","doi":"https://doi.org/10.3233/978-1-61499-105-2-1867","title":"An Efficient Algorithm to Predict Three-way Interaction of Proteins from Expression Data Based on Conditional Probability","display_name":"An Efficient Algorithm to Predict Three-way Interaction of Proteins from Expression Data Based on Conditional Probability","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2400905669","doi":"https://doi.org/10.3233/978-1-61499-105-2-1867","mag":"2400905669"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-105-2-1867","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-105-2-1867","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116358869","display_name":"Fujiki Takatoshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fujiki Takatoshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116358870","display_name":"Inoue Etsuko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inoue Etsuko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050061781","display_name":"Takuya Yoshihiro","orcid":"https://orcid.org/0000-0002-7420-4132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoshihiro Takuya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053442214","display_name":"Masaru Nakagawa","orcid":"https://orcid.org/0000-0001-7735-0453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nakagawa Masaru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2325759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1867","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.9441999793052673,"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":0.9390000104904175,"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/expression","display_name":"Expression (computer science)","score":0.6142227053642273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659536123275757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.492710143327713},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4238792955875397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3376210033893585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28771036863327026},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.183571457862854}],"concepts":[{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6142227053642273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659536123275757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.492710143327713},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4238792955875397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3376210033893585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28771036863327026},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.183571457862854},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-105-2-1867","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-105-2-1867","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2400905669","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/kes/kes2012.html#FujikiIYN12","pdf_url":null,"source":{"id":"https://openalex.org/S4306517382","display_name":"KES","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"KES","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"It":[0],"is":[1],"important":[2],"to":[3,8,19,68],"predict":[4,20],"interaction":[5],"among":[6,23],"proteins":[7,24],"understand":[9],"the":[10,37,59,71,76,93,99],"system":[11],"of":[12,43,51,58,83,98],"life.":[13],"We":[14,91],"have":[15],"proposed":[16,38,100],"a":[17,41,52,56,66],"method":[18,39,67],"threeway":[21],"interactions":[22],"from":[25],"expression":[26],"data":[27],"based":[28],"on":[29],"conditional":[30],"probability":[31,53,77],"in":[32,87],"our":[33,88],"previous":[34,89],"study.":[35,90],"However,":[36],"has":[40],"problem":[42],"significant":[44],"computational":[45,72,94],"time,":[46],"because":[47],"it":[48],"requires":[49],"computation":[50,102],"distribution":[54,78],"as":[55],"preprocess":[57],"algorithm.":[60],"In":[61],"this":[62],"study,":[63],"we":[64],"propose":[65],"significantly":[69],"reduce":[70],"time":[73,95],"by":[74],"computing":[75],"with":[79],"analytical":[80,101],"approach,":[81],"instead":[82],"simulation":[84],"approach":[85],"used":[86],"evaluated":[92],"and":[96],"accuracy":[97],"method.":[103]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}