Computational Methods for Estimating Molecular System from Membrane Potential Recordings in Nerve Growth Cone.

Yamada, Tatsuya; Nishiyama, Makoto; Oba, Shigeyuki; Jimbo, Henri Claver; Ikeda, Kazushi; Ishii, Shin; Hong, Kyonsoo; Sakumura, Yuichi

Yamada, Tatsuya; Nishiyama, Makoto; Oba, Shigeyuki; Jimbo, Henri Claver; Ikeda, Kazushi; Ishii, Shin; Hong, Kyonsoo; Sakumura, Yuichi.

Afiliação

Yamada T; Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
Nishiyama M; Department of Biochemistry, New York University School of Medicine, New York, USA.
Oba S; Graduate School of Informatics, Kyoto University, Kyoto, Japan.
Jimbo HC; Graduate School of Biological Sciences, Nara Institute of Science and Technology, Nara, Japan.
Ikeda K; Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
Ishii S; Graduate School of Informatics, Kyoto University, Kyoto, Japan.
Hong K; Department of Biochemistry, New York University School of Medicine, New York, USA. kyonsoo.hong@kasahtechnology.com.
Sakumura Y; KASAH Technology, Inc, New York, USA. kyonsoo.hong@kasahtechnology.com.

Sci Rep ; 8(1): 4559, 2018 03 14.

Article em En | MEDLINE | ID: mdl-29540815

Assuntos

Biologia Computacional/métodos; Cones de Crescimento/fisiologia; Potenciais da Membrana; Animais; Teorema de Bayes; GMP Cíclico/metabolismo; Modelos Teóricos; Xenopus

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Cones de Crescimento / Potenciais da Membrana Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Japão País de publicação: Reino Unido

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