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Mariko Okada

Showing results (11-20 of 114) with videos related to

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Journal of Inorganic Biochemistry|February 8, 2017
Comparison of extracellular Cys/Trp motif between Schizosaccharomyces pombe Ctr4 and Ctr5Mariko Okada, Takashi Miura, Takakazu Nakabayashi
Genes to Cells : Devoted to Molecular & Cellular Mechanisms|February 4, 2025
An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics DataKen Murakami, Keita Iida, Mariko Okada
Bioinformatics (Oxford, England)|March 13, 2010
Inferring cluster-based networks from differently stimulated multiple time-course gene expression dataYuichi Shiraishi, Shuhei Kimura, Mariko Okada
Bioinformatics (Oxford, England)|February 26, 2026
Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modelingMasato Tsutsui, Kiwamu Arakane, Mariko Okada
Iscience|May 6, 2024
Positive and negative feedback regulation of the TGF-β1 explains two equilibrium states in skin agingMasatoshi Haga, Keita Iida, Mariko Okada
Iscience|May 10, 2022
A text-based computational framework for patient -specific modeling for classification of cancersHiroaki Imoto, Sawa Yamashiro, Mariko Okada
Journal of Bioinformatics and Computational Biology|July 12, 2019
Inference of genetic networks using random forests: Assigning different weights for gene expression dataShuhei Kimura, Masato Tokuhisa, Mariko Okada
Cancers|October 10, 2020
A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data-Application to the ErbB Receptor Signaling PathwayHiroaki Imoto, Suxiang Zhang, Mariko Okada
The Journal of Physical Chemistry. B|May 19, 2018
Embedding a Metal-Binding Motif for Copper Transporter into a Lipid Bilayer by Cu(I) BindingMariko Okada, Shinji Kajimoto, Takakazu Nakabayashi
Frontiers in Physiology|March 5, 2016
Genetic Network Inference Using Hierarchical StructureShuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama
Pageof 12

Showing results (11-20 of 114) with videos related to

Sort By:
Pageof 12
Journal of Inorganic Biochemistry|February 8, 2017
Comparison of extracellular Cys/Trp motif between Schizosaccharomyces pombe Ctr4 and Ctr5Mariko Okada, Takashi Miura, Takakazu Nakabayashi
Genes to Cells : Devoted to Molecular & Cellular Mechanisms|February 4, 2025
An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics DataKen Murakami, Keita Iida, Mariko Okada
Bioinformatics (Oxford, England)|March 13, 2010
Inferring cluster-based networks from differently stimulated multiple time-course gene expression dataYuichi Shiraishi, Shuhei Kimura, Mariko Okada
Bioinformatics (Oxford, England)|February 26, 2026
Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modelingMasato Tsutsui, Kiwamu Arakane, Mariko Okada
Iscience|May 6, 2024
Positive and negative feedback regulation of the TGF-β1 explains two equilibrium states in skin agingMasatoshi Haga, Keita Iida, Mariko Okada
Iscience|May 10, 2022
A text-based computational framework for patient -specific modeling for classification of cancersHiroaki Imoto, Sawa Yamashiro, Mariko Okada
Journal of Bioinformatics and Computational Biology|July 12, 2019
Inference of genetic networks using random forests: Assigning different weights for gene expression dataShuhei Kimura, Masato Tokuhisa, Mariko Okada
Cancers|October 10, 2020
A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data-Application to the ErbB Receptor Signaling PathwayHiroaki Imoto, Suxiang Zhang, Mariko Okada
The Journal of Physical Chemistry. B|May 19, 2018
Embedding a Metal-Binding Motif for Copper Transporter into a Lipid Bilayer by Cu(I) BindingMariko Okada, Shinji Kajimoto, Takakazu Nakabayashi
Frontiers in Physiology|March 5, 2016
Genetic Network Inference Using Hierarchical StructureShuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama
Pageof 12