Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Eisuke Chikayama

Showing results (1-10 of 23) with videos related to

Pageof 3
Sort By:
Springerplus|June 3, 2015
Decomposition of multivariate function using the Heaviside step functionEisuke Chikayama
Biomacromolecules|April 12, 2012
Solubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatmentKeiko Okushita, Eisuke Chikayama, Jun Kikuchi
International Journal of Molecular Sciences|January 27, 2021
Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component MaterialsShunji Yamada, Eisuke Chikayama, Jun Kikuchi
Analytical Chemistry|January 7, 2011
Evaluation of a semipolar solvent system as a step toward heteronuclear multidimensional NMR-based metabolomics for 13C-labeled bacteria, plants, and animalsYasuyo Sekiyama, Eisuke Chikayama, Jun Kikuchi
Analytical Chemistry|February 4, 2010
Profiling polar and semipolar plant metabolites throughout extraction processes using a combined solution-state and high-resolution magic angle spinning NMR approachYasuyo Sekiyama, Eisuke Chikayama, Jun Kikuchi
The Journal of Physical Chemistry. B|March 11, 2016
The Effect of Molecular Conformation on the Accuracy of Theoretical (1)H and (13)C Chemical Shifts Calculated by Ab Initio Methods for Metabolic Mixture AnalysisEisuke Chikayama, Yudai Shimbo, Keiko Komatsu, et al.
Bioinformatics (Oxford, England)|April 24, 2004
ProteoMix: an integrated and flexible system for interactively analyzing large numbers of protein sequencesEisuke Chikayama, Atsushi Kurotani, Yutaka Kuroda, et al.
International Journal of Molecular Sciences|April 29, 2020
Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix FactorizationShunji Yamada, Atsushi Kurotani, Eisuke Chikayama, et al.
Chemical Science|December 14, 2018
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signalsKengo Ito, Yuka Obuchi, Eisuke Chikayama, et al.
Scientific Reports|June 22, 2022
Materials informatics approach using domain modelling for exploring structure-property relationships of polymersKoki Hara, Shunji Yamada, Atsushi Kurotani, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Springerplus|June 3, 2015
Decomposition of multivariate function using the Heaviside step functionEisuke Chikayama
Biomacromolecules|April 12, 2012
Solubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatmentKeiko Okushita, Eisuke Chikayama, Jun Kikuchi
International Journal of Molecular Sciences|January 27, 2021
Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component MaterialsShunji Yamada, Eisuke Chikayama, Jun Kikuchi
Analytical Chemistry|January 7, 2011
Evaluation of a semipolar solvent system as a step toward heteronuclear multidimensional NMR-based metabolomics for 13C-labeled bacteria, plants, and animalsYasuyo Sekiyama, Eisuke Chikayama, Jun Kikuchi
Analytical Chemistry|February 4, 2010
Profiling polar and semipolar plant metabolites throughout extraction processes using a combined solution-state and high-resolution magic angle spinning NMR approachYasuyo Sekiyama, Eisuke Chikayama, Jun Kikuchi
The Journal of Physical Chemistry. B|March 11, 2016
The Effect of Molecular Conformation on the Accuracy of Theoretical (1)H and (13)C Chemical Shifts Calculated by Ab Initio Methods for Metabolic Mixture AnalysisEisuke Chikayama, Yudai Shimbo, Keiko Komatsu, et al.
Bioinformatics (Oxford, England)|April 24, 2004
ProteoMix: an integrated and flexible system for interactively analyzing large numbers of protein sequencesEisuke Chikayama, Atsushi Kurotani, Yutaka Kuroda, et al.
International Journal of Molecular Sciences|April 29, 2020
Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix FactorizationShunji Yamada, Atsushi Kurotani, Eisuke Chikayama, et al.
Chemical Science|December 14, 2018
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signalsKengo Ito, Yuka Obuchi, Eisuke Chikayama, et al.
Scientific Reports|June 22, 2022
Materials informatics approach using domain modelling for exploring structure-property relationships of polymersKoki Hara, Shunji Yamada, Atsushi Kurotani, et al.
Pageof 3