[2P-0889] Extracting the feature statistics of flow-cytometry data using Multidimensional Scaling and evaluating their correspondence with transcriptome data

〇Daigo Okada¹, Naotoshi Nakamura¹, Kazuya Setoh², Takahisa Kawaguchi², Maiko Narahara¹, Koichiro Higasa², Yasuharu Tabara², Fumihiko Matsuda², Ryo Yamada¹ (1.Unit of Statistical Genetics Center for Genomic Medicine Graduate School of Medicine Kyoto University Nanbusogo-Kenkyu-To-1, 5F 53 Syogoin-Kawaharacho, Sakyo-ku, Kyoto, 2.Unit of Statistical Genetics Center for Genomic Medicine Graduate School of Medicine Kyoto University Nanbusogo-Kenkyu-To-1, 5F 53 Syogoin-Kawaharacho, Sakyo-ku, Kyoto)

bioinformatics, flow-cytometry, transcriptome, immunology, multidimensional scaling