N
Norio Gouda
Researcher at Keio University
Publications - 4
Citations - 366
Norio Gouda is an academic researcher from Keio University. The author has contributed to research in topics: Gene regulatory network & Embryonic stem cell. The author has an hindex of 3, co-authored 4 publications receiving 188 citations.
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Journal ArticleDOI
SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation.
Hirotaka Matsumoto,Hisanori Kiryu,Chikara Furusawa,Minoru S.H. Ko,Shigeru B. H. Ko,Norio Gouda,Tetsutaro Hayashi,Itoshi Nikaido +7 more
TL;DR: The novel and efficient algorithm SCODE is developed to infer regulatory networks from single‐cell RNA‐Seq during differentiation, based on ordinary differential equations, and it is confirmed that SCODE can reconstruct observed expression dynamics.
Posted ContentDOI
SCODE: An efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation
Hirotaka Matsumoto,Hisanori Kiryu,Chikara Furusawa,Minoru S.H. Ko,Shigeru B. H. Ko,Norio Gouda,Tetsutaro Hayashi,Itoshi Nikaido +7 more
TL;DR: The novel and efficient algorithm SCODE is developed to infer regulatory networks from single-cell RNA-Seq during differentiation, based on ordinary differential equations, and it is confirmed that SCODE can reconstruct observed expression dynamics.
Journal ArticleDOI
Generation and Profiling of 2,135 Human ESC Lines for the Systematic Analyses of Cell States Perturbed by Inducing Single Transcription Factors.
Yuhki Nakatake,Shigeru B. H. Ko,Alexei A. Sharov,Shunichi Wakabayashi,Miyako Murakami,Miki Sakota,Nana Chikazawa,Chiaki Ookura,Saeko Sato,Noriko Ito,Madoka Ishikawa-Hirayama,Siu Shan Mak,Lars Martin Jakt,Tomoo Ueno,Ken Hiratsuka,Misako Matsushita,Sravan Kumar Goparaju,Tomohiko Akiyama,Kei-ichiro Ishiguro,Mayumi Oda,Norio Gouda,Akihiro Umezawa,Hidenori Akutsu,Kunihiro Nishimura,Ryo Matoba,Osamu Ohara,Minoru S.H. Ko +26 more
TL;DR: Interestingly, the expression of essentially all the genes, including genes located in heterochromatin regions, are perturbed by these TFs, and TFs are also characterized by their ability to induce differentiation of hESCs into specific cell lineages.
Journal ArticleDOI
Distribution of human single-nucleotide polymorphisms is approximated by the power law and represents a fractal structure.
TL;DR: It was found that the distribution of the distance between SNPs was approximated by the power law, and the shape of the regions including SNPs had the so‐called fractal structure.