ホウチン　テルヒサ   Teruhisa Hochin   寶珍　輝尚    所属   追手門学院大学  理工学部 情報工学科    職種   教授
発行・発表の年月	2021/06/20
形態種別	論文
査読	査読あり
標題	Extraction of ncRNAs Associated with Liver Cancer Using Machine Learning.
執筆形態	共著・編著（代表編著を除く）
掲載誌名	ACIT 2021: The 8th International Virtual Conference on Applied Computing & Information Technology(ACIT)
掲載区分	国外
出版社・発行元	ACM
巻・号・頁	81-86頁
著者・共著者	Koshiro Sekine,Teruhisa Hochin,Hiroki Nomiya
概要	In this paper, we used a random forest for the NBDC liver cancer dataset to extract non-coding RNAs (ncRNAs) which are considered to be associated with liver cancer from a huge amount of ncRNAs. The explanatory variables for the random forest were the expression levels of ncRNAs, and the objective variable was non-tumor tissue or tumor tissue. The expression level calculation tool, kallisto, was used to extract the expression levels of ncRNAs. Since there are a huge number of ncRNAs, we used a statistical hypothesis test for their expression levels and used only ncRNAs that were significantly different between non-tumor tissues and tumor tissues as explanatory variables. As a result, we succeeded in extracting ten ncRNAs that are considered to be associated with liver cancer.
DOI	10.1145/3468081.3471127
DBLP ID	conf/acit2/SekineHN21
PermalinkURL	https://dblp.uni-trier.de/rec/conf/acit2/2021
researchmap用URL	https://dblp.uni-trier.de/db/conf/acit2/acit2021.html#SekineHN21