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Briefings in Bioinformatics
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March 24, 2023
Analysis of super-enhancer using machine learning and its application to medical biology
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
International Journal of Oncology
|
December 16, 2021
Downregulation of METTL6 mitigates cell progression, migration, invasion and adhesion in hepatocellular carcinoma by inhibiting cell adhesion molecules
Amina Bolatkan, Ken Asada, Syuzo Kaneko, et al.
Frontiers in Oncology
|
May 31, 2021
Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology
Ken Asada, Syuzo Kaneko, Ken Takasawa, et al.
NPJ Systems Biology and Applications
|
May 19, 2025
SEgene identifies links between super enhancers and gene expression across cell types
Norio Shinkai, Ken Asada, Hidenori Machino, et al.
Biomedicines
|
July 2, 2021
Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging
Masaaki Komatsu, Akira Sakai, Ai Dozen, et al.
Biomolecules
|
April 3, 2020
Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer
Ken Asada, Kazuma Kobayashi, Samuel Joutard, et al.
Nucleic Acids Research
|
April 30, 2021
Short DNA/RNA heteroduplex oligonucleotide interacting proteins are key regulators of target gene silencing
Ken Asada, Fumika Sakaue, Tetsuya Nagata, et al.
Biomolecules
|
December 7, 2019
Deregulation of the Histone Lysine-Specific Demethylase 1 Is Involved in Human Hepatocellular Carcinoma
Sangchul Kim, Amina Bolatkan, Syuzo Kaneko, et al.
Biomedicines
|
November 27, 2021
Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
Ken Asada, Ken Takasawa, Hidenori Machino, et al.
Biomedicines
|
September 28, 2021
Epigenetic Mechanisms Underlying COVID-19 Pathogenesis
Syuzo Kaneko, Ken Takasawa, Ken Asada, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 52) with videos related to
Sort By:
Page
of 6
Briefings in Bioinformatics
|
March 24, 2023
Analysis of super-enhancer using machine learning and its application to medical biology
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
International Journal of Oncology
|
December 16, 2021
Downregulation of METTL6 mitigates cell progression, migration, invasion and adhesion in hepatocellular carcinoma by inhibiting cell adhesion molecules
Amina Bolatkan, Ken Asada, Syuzo Kaneko, et al.
Frontiers in Oncology
|
May 31, 2021
Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology
Ken Asada, Syuzo Kaneko, Ken Takasawa, et al.
NPJ Systems Biology and Applications
|
May 19, 2025
SEgene identifies links between super enhancers and gene expression across cell types
Norio Shinkai, Ken Asada, Hidenori Machino, et al.
Biomedicines
|
July 2, 2021
Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging
Masaaki Komatsu, Akira Sakai, Ai Dozen, et al.
Biomolecules
|
April 3, 2020
Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer
Ken Asada, Kazuma Kobayashi, Samuel Joutard, et al.
Nucleic Acids Research
|
April 30, 2021
Short DNA/RNA heteroduplex oligonucleotide interacting proteins are key regulators of target gene silencing
Ken Asada, Fumika Sakaue, Tetsuya Nagata, et al.
Biomolecules
|
December 7, 2019
Deregulation of the Histone Lysine-Specific Demethylase 1 Is Involved in Human Hepatocellular Carcinoma
Sangchul Kim, Amina Bolatkan, Syuzo Kaneko, et al.
Biomedicines
|
November 27, 2021
Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
Ken Asada, Ken Takasawa, Hidenori Machino, et al.
Biomedicines
|
September 28, 2021
Epigenetic Mechanisms Underlying COVID-19 Pathogenesis
Syuzo Kaneko, Ken Takasawa, Ken Asada, et al.
Page
of 6