Artículos con órdenes de acceso público - Ichigaku TakigawaMás información
Disponibles en algún lugar: 12
Similarity-based machine learning methods for predicting drug–target interactions: a brief review
H Ding, I Takigawa, H Mamitsuka, S Zhu
Briefings in bioinformatics 15 (5), 734-747, 2014
Órdenes: National Natural Science Foundation of China
Machine-learning prediction of the d-band center for metals and bimetals
I Takigawa, K Shimizu, K Tsuda, S Takakusagi
RSC advances 6 (58), 52587-52595, 2016
Órdenes: US National Institutes of Health
Obesity suppresses cell-competition-mediated apical elimination of RasV12-transformed cells from epithelial tissues
A Sasaki, T Nagatake, R Egami, G Gu, I Takigawa, W Ikeda, T Nakatani, ...
Cell reports 23 (4), 974-982, 2018
Órdenes: US National Institutes of Health
MED26 regulates the transcription of snRNA genes through the recruitment of little elongation complex
H Takahashi, I Takigawa, M Watanabe, D Anwar, M Shibata, ...
Nature communications 6 (1), 5941, 2015
Órdenes: US National Institutes of Health
The cell competition-based high-throughput screening identifies small compounds that promote the elimination of RasV12-transformed cells from epithelia
H Yamauchi, T Matsumaru, T Morita, S Ishikawa, K Maenaka, I Takigawa, ...
Scientific reports 5 (1), 15336, 2015
Órdenes: Swiss National Science Foundation
Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
G Wang, S Mine, D Chen, Y Jing, KW Ting, T Yamaguchi, M Takao, ...
Nature Communications 14 (1), 5861, 2023
Órdenes: Japan Science and Technology Agency
Generalized sparse learning of linear models over the complete subgraph feature set
I Takigawa, H Mamitsuka
IEEE transactions on pattern analysis and machine intelligence 39 (3), 617-624, 2016
Órdenes: Finnish Funding Agency for Innovation
Machine Learning-Based Analysis of Molar and Enantiomeric Ratios and Reaction Yields Using Images of Solid Mixtures
Y Ide, H Shirakura, T Sano, M Murugavel, Y Inaba, S Hu, I Takigawa, ...
Industrial & Engineering Chemistry Research 62 (35), 13790-13798, 2023
Órdenes: Japan Science and Technology Agency
Calcium sparks enhance the tissue fluidity within epithelial layers and promote apical extrusion of transformed cells
K Kuromiya, K Aoki, K Ishibashi, M Yotabun, M Sekai, N Tanimura, ...
Cell Reports 40 (2), 2022
Órdenes: Japan Science and Technology Agency
Efficiently enumerating substrings with statistically significant frequencies of locally optimal occurrences in gigantic string
A Nakamura, I Takigawa, H Mamitsuka
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5240-5247, 2020
Órdenes: Academy of Finland, Finnish Funding Agency for Innovation
Glycoinformatics for Structural Glycomics
SM Haslam, D Goldberg
Glyco-Bioinformatics-Bits “n” Bytes of Sugars, 2011
Órdenes: US National Institutes of Health
SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining
K Takahashi, DA duVerle, S Yotsukura, I Takigawa, H Mamitsuka
Data Mining for Systems Biology: Methods and Protocols, 95-111, 2018
Órdenes: Academy of Finland, Finnish Funding Agency for Innovation
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