{"title":"利用机器学习提取肝癌相关基因","authors":"Koshiro Sekine, T. Hochin, Hiroki Nomiya","doi":"10.1109/IIAI-AAI50415.2020.00012","DOIUrl":null,"url":null,"abstract":"In this paper, using the liver cancer dataset of NBDC, genes and transcripts extracted by using statistical hypothesis tests were given to the random forest. The genes and transcripts which are considered to be pathogenic are extracted. As a result, we obtained the genes and transcripts thought to be associated with liver cancer.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Extraction of Genes Associated with Liver Cancer Using Machine Learning\",\"authors\":\"Koshiro Sekine, T. Hochin, Hiroki Nomiya\",\"doi\":\"10.1109/IIAI-AAI50415.2020.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, using the liver cancer dataset of NBDC, genes and transcripts extracted by using statistical hypothesis tests were given to the random forest. The genes and transcripts which are considered to be pathogenic are extracted. As a result, we obtained the genes and transcripts thought to be associated with liver cancer.\",\"PeriodicalId\":188870,\"journal\":{\"name\":\"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI50415.2020.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI50415.2020.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extraction of Genes Associated with Liver Cancer Using Machine Learning
In this paper, using the liver cancer dataset of NBDC, genes and transcripts extracted by using statistical hypothesis tests were given to the random forest. The genes and transcripts which are considered to be pathogenic are extracted. As a result, we obtained the genes and transcripts thought to be associated with liver cancer.