フォロー
Takahiro G. Yamada
タイトル
引用先
引用先
SBML Level 3: an extensible format for the exchange and reuse of biological models
SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ...
Molecular systems biology 16 (8), e9110, 2020
2392020
COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
M Ostaszewski, A Niarakis, A Mazein, I Kuperstein, R Phair, ...
Molecular systems biology 17 (10), e10387, 2021
902021
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, NF Hiroi, TJ Kobayashi, ...
NPJ systems biology and applications 6 (1), 32, 2020
442020
Predicting the future direction of cell movement with convolutional neural networks
S Nishimoto, Y Tokuoka, TG Yamada, NF Hiroi, A Funahashi
PloS one 14 (9), e0221245, 2019
252019
Transcriptome analysis of the anhydrobiotic cell line Pv11 infers the mechanism of desiccation tolerance and recovery
TG Yamada, Y Suetsugu, R Deviatiiarov, O Gusev, R Cornette, ...
Scientific reports 8 (1), 17941, 2018
162018
Titanium culture vessel presenting temperature gradation for the thermotolerance estimation of cells
C Imashiro, Y Jin, M Hayama, TG Yamada, A Funahashi, K Sakaguchi, ...
Cyborg and Bionic Systems 4, 0049, 2023
122023
Identification of a master transcription factor and a regulatory mechanism for desiccation tolerance in the anhydrobiotic cell line Pv11
TG Yamada, Y Hiki, NF Hiroi, E Shagimardanova, O Gusev, R Cornette, ...
PLoS One 15 (3), e0230218, 2020
122020
Activation of cell migration via morphological changes in focal adhesions depends on shear stress in MYCN-amplified neuroblastoma cells
T Hiraiwa, TG Yamada, N Miki, A Funahashi, N Hiroi
Journal of the Royal Society Interface 16 (152), 20180934, 2019
112019
High quality genome assembly of the anhydrobiotic midge provides insights on a single chromosome-based emergence of extreme desiccation tolerance
Y Yoshida, N Shaikhutdinov, O Kozlova, M Itoh, M Tagami, M Murata, ...
NAR Genomics and Bioinformatics 4 (2), lqac029, 2022
92022
Cas9-mediated genome editing reveals a significant contribution of calcium signaling pathways to anhydrobiosis in Pv11 cells
Y Miyata, H Fuse, S Tokumoto, Y Hiki, R Deviatiiarov, Y Yoshida, ...
Scientific reports 11 (1), 19698, 2021
82021
Genome-wide role of HSF1 in transcriptional regulation of desiccation tolerance in the anhydrobiotic cell line, Pv11
S Tokumoto, Y Miyata, R Deviatiiarov, TG Yamada, Y Hiki, O Kozlova, ...
International journal of molecular sciences 22 (11), 5798, 2021
82021
Direct cell counting using macro-scale smartphone images of cell aggregates
C Imashiro, Y Tokuoka, K Kikuhara, TG Yamada, K Takemura, ...
IEEE Access 8, 170033-170043, 2020
72020
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, TJ Kobayashi, K Yamagata, ...
Artificial Intelligence in Medicine 134, 102432, 2022
62022
Intercellular interaction mechanisms promote diversity in intracellular ATP concentration in Escherichia coli populations
RJ Nakatani, M Itabashi, TG Yamada, NF Hiroi, A Funahashi
Scientific reports 12 (1), 17946, 2022
52022
3d convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis. npj Systems Biology and Applications 6, 1–12
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, NF Hiroi, TJ Kobayashi, ...
A. doi 10, 2020
52020
Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
A Niarakis, M Ostaszewski, A Mazein, I Kuperstein, M Kutmon, ...
Frontiers in Immunology 14, 1282859, 2024
42024
Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning
J Komuro, Y Tokuoka, T Seki, D Kusumoto, H Hashimoto, T Katsuki, ...
Biochemical and Biophysical Research Communications 632, 181-188, 2022
32022
Temperature elevation detection in migrating cells
T Nakamura, J Sakamoto, K Okabe, A Taniguchi, TG Yamada, S Nonaka, ...
Optics Continuum 1 (5), 1085-1097, 2022
32022
Symbolic integration by integrating learning models with different strengths and weaknesses
H Kubota, Y Tokuoka, TG Yamada, A Funahashi
IEEE Access 10, 47000-47010, 2022
32022
Neural differentiation dynamics controlled by multiple feedback loops in a comprehensive molecular interaction network
T Iwasaki, R Takiguchi, T Hiraiwa, TG Yamada, K Yamazaki, NF Hiroi, ...
Processes 8 (2), 166, 2020
32020
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論文 1–20