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

Yayoi Natsume-Kitatani

Showing results (1-10 of 34) with videos related to

Pageof 4
Sort By:
Current Opinion in Virology|April 28, 2026
Adjuvant databases and knowledge bases for data-driven research: a computational biology perspectiveYayoi Natsume-Kitatani
Plos One|March 23, 2016
Classification of Promoters Based on the Combination of Core Promoter Elements Exhibits Different Histone Modification PatternsYayoi Natsume-Kitatani, Hiroshi Mamitsuka
Plos One|August 11, 2011
Genome-wide integration on transcription factors, histone acetylation and gene expression reveals genes co-regulated by histone modification patternsYayoi Natsume-Kitatani, Motoki Shiga, Hiroshi Mamitsuka
International Journal of Computer Assisted Radiology and Surgery|May 28, 2025
Homology-feature-assisted quantification of fibrotic lesions in computed tomography images: a proof of concept for CT image feature-based prediction for gene-expression-distributionKentaro Doi, Hodaka Numasaki, Yusuke Anetai, et al.
Briefings in Bioinformatics|February 4, 2016
Computational recognition for long non-coding RNA (lncRNA): Software and databasesSohiya Yotsukura, David duVerle, Timothy Hancock, et al.
Scientific Reports|May 5, 2017
Interactive Toxicogenomics: Gene set discovery, clustering and analysis in ToxygatesJohan Nyström-Persson, Yayoi Natsume-Kitatani, Yoshinobu Igarashi, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Computational Model To Predict the Fraction of Unbound Drug in the BrainTsuyoshi Esaki, Rikiya Ohashi, Reiko Watanabe, et al.
Molecular Pharmaceutics|December 20, 2022
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure InformationReiko Watanabe, Toshio Kawata, Shinya Ueda, et al.
Molecular Informatics|September 25, 2018
Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic ClearanceTsuyoshi Esaki, Reiko Watanabe, Hitoshi Kawashima, et al.
Molecular Pharmaceutics|September 28, 2018
Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value RangesReiko Watanabe, Tsuyoshi Esaki, Hitoshi Kawashima, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Current Opinion in Virology|April 28, 2026
Adjuvant databases and knowledge bases for data-driven research: a computational biology perspectiveYayoi Natsume-Kitatani
Plos One|March 23, 2016
Classification of Promoters Based on the Combination of Core Promoter Elements Exhibits Different Histone Modification PatternsYayoi Natsume-Kitatani, Hiroshi Mamitsuka
Plos One|August 11, 2011
Genome-wide integration on transcription factors, histone acetylation and gene expression reveals genes co-regulated by histone modification patternsYayoi Natsume-Kitatani, Motoki Shiga, Hiroshi Mamitsuka
International Journal of Computer Assisted Radiology and Surgery|May 28, 2025
Homology-feature-assisted quantification of fibrotic lesions in computed tomography images: a proof of concept for CT image feature-based prediction for gene-expression-distributionKentaro Doi, Hodaka Numasaki, Yusuke Anetai, et al.
Briefings in Bioinformatics|February 4, 2016
Computational recognition for long non-coding RNA (lncRNA): Software and databasesSohiya Yotsukura, David duVerle, Timothy Hancock, et al.
Scientific Reports|May 5, 2017
Interactive Toxicogenomics: Gene set discovery, clustering and analysis in ToxygatesJohan Nyström-Persson, Yayoi Natsume-Kitatani, Yoshinobu Igarashi, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Computational Model To Predict the Fraction of Unbound Drug in the BrainTsuyoshi Esaki, Rikiya Ohashi, Reiko Watanabe, et al.
Molecular Pharmaceutics|December 20, 2022
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure InformationReiko Watanabe, Toshio Kawata, Shinya Ueda, et al.
Molecular Informatics|September 25, 2018
Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic ClearanceTsuyoshi Esaki, Reiko Watanabe, Hitoshi Kawashima, et al.
Molecular Pharmaceutics|September 28, 2018
Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value RangesReiko Watanabe, Tsuyoshi Esaki, Hitoshi Kawashima, et al.
Pageof 4