E-LIB Suche - Ergebnisse für: Sunagawa, Junya

1

Isolation may select for earlier and higher peak viral load..:

Sunagawa, Junya ; Park, Hyeongki ; Kim, Kwang Su...
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

2

Contact-number-driven virus evolution: A multi-level modeli..:

Sunagawa, Junya ; Komorizono, Ryo ; Park, Hyeongki...
PLOS Computational Biology. 19 (2023) 5 - p. e1011173 , 2023

Link: https://doi.org/10.1371/..

3

Anti‐HTLV‐1 immunity combined with proviral load as predict..:

Yamada, Asami ; Yasunaga, Jun‐ichirou ; Liang, Lihan...
Cancer Science. 115 (2023) 1 - p. 310-320 , 2023

Link: https://doi.org/10.1111/..

4

Evolving neural networks through bio-inspired parent select..:

Sunagawa, Junya ; Yamaguchi, Ryo ; Nakaoka, Shinji
Biosystems. 218 (2022) - p. 104686 , 2022

Link: https://doi.org/10.1016/..

5

Data mining for prediction and interpretation of bacterial ..:

Hosoe, Junpei ; Sunagawa, Junya ; Nakaoka, Shinji..
Frontiers in Food Science and Technology. 2 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

6

Characterization of high-speed modulators over wide wavelen..:

, In: 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC),

Sunagawa, Junya ; Sagisaka, Yusuke ; Ito, Fumihiko - p. 1-3 , 2019

Link: https://doi.org/10.23919..

7

Isolation may select for earlier and higher peak viral load..:

Sunagawa, Junya ; Park, Hyeongki ; Kim, Kwang Su...
10.1038/s41467-023-43043-2. , 2023

Link: http://hdl.handle.net/24..

8

Evolving neural networks through bio-inspired parent select..:

Sunagawa, Junya ; Yamaguchi, Ryo ; Nakaoka, Shinji
http://hdl.handle.net/2115/90278. ,

Link: http://hdl.handle.net/21..

9

Isolation may select for earlier and higher peak viral load..:

Junya Sunagawa ; Kwang Su Kim ; Hyeongki Park...
doi:10.1101/2023.02.23.529742. , 2023

Link: https://zenodo.org/recor..

10

DataSheet2_Data mining for prediction and interpretation of..:

Junpei Hosoe ; Junya Sunagawa ; Shinji Nakaoka..
doi:10.3389/frfst.2022.979028.s002. , 2022

Link: https://doi.org/10.3389/..

11

Data mining for prediction and interpretation of bacterial ..:

Junpei Hosoe ; Junya Sunagawa ; Shinji Nakaoka..
https://www.frontiersin.org/articles/10.3389/frfst.2022.979028/full. , 2022

Link: https://doi.org/10.3389/..

12

DataSheet1_Data mining for prediction and interpretation of..:

Junpei Hosoe ; Junya Sunagawa ; Shinji Nakaoka..
doi:10.3389/frfst.2022.979028.s001. , 2022

Link: https://doi.org/10.3389/..

13

DataSheet2_Data mining for prediction and interpretation of..:

Junpei Hosoe (14261447) ; Junya Sunagawa (14261450) ; Shinji Nakaoka (3326025)..
https://figshare.com/articles/dataset/DataSheet2_Data_mining_for_prediction_and_interpretation_of_bacterial_population_behavior_in_food_csv/21729395. , 2022

Link: https://doi.org/10.3389/..

14

DataSheet1_Data mining for prediction and interpretation of..:

Junpei Hosoe (14261447) ; Junya Sunagawa (14261450) ; Shinji Nakaoka (3326025)..
https://figshare.com/articles/dataset/DataSheet1_Data_mining_for_prediction_and_interpretation_of_bacterial_population_behavior_in_food_pdf/21729392. , 2022

Link: https://doi.org/10.3389/..

15

Case Report: Virtual reality training for phantom limb pain..:

Yoshimura, Manabu ; Kurumadani, Hiroshi ; Hirata, Junya...
Frontiers in Human Neuroscience. 17 (2023) - p. , 2023

Link: https://doi.org/10.3389/..