著者
Yoshiki Murakami Toshihito Tanahashi Rika Okada Hidenori Toyoda Takashi Kumada Masaru Enomoto Akihiro Tamori Norifumi Kawada Y-H. Taguchi Takeshi Azuma
出版者
一般社団法人情報処理学会
雑誌
研究報告バイオ情報学(BIO) (ISSN:09196072)
巻号頁・発行日
vol.2014, no.2, pp.1-5, 2014-12-11

Although microarray has been an important tool that can perform extensive gene expression analyses, next generation sequencing (NGS) has recently arisen as an alternative methodology that can measure gene expression. In this paper, we have compared microarray and NGS quantitatively using microRNA measurements in hepatocellular carcinoma (HCC) and found that these two are coincident with each other. NGS also turned out to be used for biomarker between HCC and normal tissue if the recently proposed principal component analysis based unsupervised feature extraction was applied.Although microarray has been an important tool that can perform extensive gene expression analyses, next generation sequencing (NGS) has recently arisen as an alternative methodology that can measure gene expression. In this paper, we have compared microarray and NGS quantitatively using microRNA measurements in hepatocellular carcinoma (HCC) and found that these two are coincident with each other. NGS also turned out to be used for biomarker between HCC and normal tissue if the recently proposed principal component analysis based unsupervised feature extraction was applied.