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Itoshi Nikaido

Showing results (1-10 of 55) with videos related to

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Nihon Rinsho. Japanese Journal of Clinical Medicine|November 21, 2018
A novel single - cell RNA sequencing method for safety and effective cell transplantationItoshi Nikaido
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
The Effect of Multi-Task Learning on the Prediction of Neoantigen-MHC Class II BindingKazuhiro Ikkyu, Itoshi Nikaido
Advances in Experimental Medicine and Biology|April 11, 2019
Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing MethodsYohei Sasagawa, Tetsutaro Hayashi, Itoshi Nikaido
BMC Bioinformatics|November 7, 2023
Sctensor detects many-to-many cell-cell interactions from single cell RNA-sequencing dataKoki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Genome Biology|February 13, 2019
CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencingKenta Sato, Koki Tsuyuzaki, Kentaro Shimizu, et al.
Genome Biology|January 21, 2020
Benchmarking principal component analysis for large-scale single-cell RNA-sequencingKoki Tsuyuzaki, Hiroyuki Sato, Kenta Sato, et al.
BMC Genomics|September 26, 2025
MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing dataHaruko Nakagawa, Yasuyuki Shima, Yohei Sasagawa, et al.
BMC Genomics|March 4, 2020
Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasetsHaruka Ozaki, Tetsutaro Hayashi, Mana Umeda, et al.
Animal Genetics|December 3, 2021
Improved MeSH analysis software tools for farm animalsSabrina T Amorim, Koki Tsuyuzaki, Itoshi Nikaido, et al.
Genome Research|June 24, 2003
Comprehensive analysis of the mouse metabolome based on the transcriptomeHidemasa Bono, Itoshi Nikaido, Takeya Kasukawa, et al.
Pageof 6

Showing results (1-10 of 55) with videos related to

Sort By:
Pageof 6
Nihon Rinsho. Japanese Journal of Clinical Medicine|November 21, 2018
A novel single - cell RNA sequencing method for safety and effective cell transplantationItoshi Nikaido
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
The Effect of Multi-Task Learning on the Prediction of Neoantigen-MHC Class II BindingKazuhiro Ikkyu, Itoshi Nikaido
Advances in Experimental Medicine and Biology|April 11, 2019
Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing MethodsYohei Sasagawa, Tetsutaro Hayashi, Itoshi Nikaido
BMC Bioinformatics|November 7, 2023
Sctensor detects many-to-many cell-cell interactions from single cell RNA-sequencing dataKoki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Genome Biology|February 13, 2019
CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencingKenta Sato, Koki Tsuyuzaki, Kentaro Shimizu, et al.
Genome Biology|January 21, 2020
Benchmarking principal component analysis for large-scale single-cell RNA-sequencingKoki Tsuyuzaki, Hiroyuki Sato, Kenta Sato, et al.
BMC Genomics|September 26, 2025
MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing dataHaruko Nakagawa, Yasuyuki Shima, Yohei Sasagawa, et al.
BMC Genomics|March 4, 2020
Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasetsHaruka Ozaki, Tetsutaro Hayashi, Mana Umeda, et al.
Animal Genetics|December 3, 2021
Improved MeSH analysis software tools for farm animalsSabrina T Amorim, Koki Tsuyuzaki, Itoshi Nikaido, et al.
Genome Research|June 24, 2003
Comprehensive analysis of the mouse metabolome based on the transcriptomeHidemasa Bono, Itoshi Nikaido, Takeya Kasukawa, et al.
Pageof 6