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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 Hayash, Itoshi Nikaido
doi: https://doi.org/10.1101/088856
Hirotaka Matsumoto
aBioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Saitama, Japan
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  • For correspondence: hirotaka.matsumoto@riken.jp
Hisanori Kiryu
bDepartment of Computational Biology and Medical Sciences, Faculty of Frontier Sciences, The University of Tokyo, Chiba, Japan
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Chikara Furusawa
cQuantitative Biology Center (QBiC), RIKEN, Osaka, Japan
dUniversal Biology Institute, The University of Tokyo, Tokyo, Japan
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Minoru S.H. Ko
eDepartment of Systems Medicine, Keio University School of Medicine, Tokyo, Japan
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Shigeru B.H. Ko
eDepartment of Systems Medicine, Keio University School of Medicine, Tokyo, Japan
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Norio Gouda
eDepartment of Systems Medicine, Keio University School of Medicine, Tokyo, Japan
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Tetsutaro Hayash
aBioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Saitama, Japan
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Itoshi Nikaido
aBioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Saitama, Japan
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Posted November 21, 2016.
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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 Hayash, Itoshi Nikaido
bioRxiv 088856; doi: https://doi.org/10.1101/088856
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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 Hayash, Itoshi Nikaido
bioRxiv 088856; doi: https://doi.org/10.1101/088856

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