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Springerplus
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June 3, 2015
Decomposition of multivariate function using the Heaviside step function
Eisuke Chikayama
Biomacromolecules
|
April 12, 2012
Solubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatment
Keiko 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 Materials
Shunji 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 animals
Yasuyo 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 approach
Yasuyo 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 Analysis
Eisuke 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 sequences
Eisuke 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 Factorization
Shunji Yamada, Atsushi Kurotani, Eisuke Chikayama, et al.
Chemical Science
|
December 14, 2018
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals
Kengo Ito, Yuka Obuchi, Eisuke Chikayama, et al.
Scientific Reports
|
June 22, 2022
Materials informatics approach using domain modelling for exploring structure-property relationships of polymers
Koki Hara, Shunji Yamada, Atsushi Kurotani, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
Springerplus
|
June 3, 2015
Decomposition of multivariate function using the Heaviside step function
Eisuke Chikayama
Biomacromolecules
|
April 12, 2012
Solubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatment
Keiko 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 Materials
Shunji 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 animals
Yasuyo 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 approach
Yasuyo 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 Analysis
Eisuke 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 sequences
Eisuke 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 Factorization
Shunji Yamada, Atsushi Kurotani, Eisuke Chikayama, et al.
Chemical Science
|
December 14, 2018
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals
Kengo Ito, Yuka Obuchi, Eisuke Chikayama, et al.
Scientific Reports
|
June 22, 2022
Materials informatics approach using domain modelling for exploring structure-property relationships of polymers
Koki Hara, Shunji Yamada, Atsushi Kurotani, et al.
Page
of 3