Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Mizuno, Tadahaya"'
Recently, molecule generation using deep learning has been actively investigated in drug discovery. In this field, Transformer and VAE are widely used as powerful models, but they are rarely used in combination due to structural and performance misma
Externí odkaz:
http://arxiv.org/abs/2402.11950
Recent years have seen rapid development of descriptor generation based on representation learning of extremely diverse molecules, especially those that apply natural language processing (NLP) models to SMILES, a literal representation of molecular s
Externí odkaz:
http://arxiv.org/abs/2303.11593
Descriptor generation methods using latent representations of encoder$-$decoder (ED) models with SMILES as input are useful because of the continuity of descriptor and restorability to the structure. However, it is not clear how the structure is reco
Externí odkaz:
http://arxiv.org/abs/2210.16307
Predicting the novel effects of drugs based on information about approved drugs can be regarded as a recommendation system. Matrix factorization is one of the most used recommendation systems and various algorithms have been devised for it. A literat
Externí odkaz:
http://arxiv.org/abs/2208.04312
Adverse events are a serious issue in drug development and many prediction methods using machine learning have been developed. The random split cross-validation is the de facto standard for model building and evaluation in machine learning, but care
Externí odkaz:
http://arxiv.org/abs/2204.08682
Motivation: Modules in gene coexpression networks (GCN) can be regarded as gene groups with individual relationships. No studies have optimized module detection methods to extract diverse gene groups from GCN, especially for data from clinical specim
Externí odkaz:
http://arxiv.org/abs/2112.01180
Autor:
Azuma, Iori1 (AUTHOR), Mizuno, Tadahaya1 (AUTHOR) tadahaya@gmail.com, Kusuhara, Hiroyuki1 (AUTHOR)
Publikováno v:
Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-13. 13p.
Autor:
Sakamoto, Shingo, Hiraide, Hideto, Minoda, Mayano, Iwakura, Nozomi, Suzuki, Misa, Ando, Jun, Takahashi, Chiharu, Takahashi, Ikuko, Murai, Kazue, Kagami, Yu, Mizuno, Tadahaya, Koike, Tohru, Nara, Satoshi, Morizane, Chigusa, Hijioka, Susumu, Kashiro, Ayumi, Honda, Kazufumi, Watanabe, Rikiya, Urano, Yasuteru, Komatsu, Toru
Publikováno v:
In Cell Reports Methods 22 January 2024 4(1)
Publikováno v:
In Computers in Biology and Medicine January 2024 168
Autor:
Kunitake, Koki, Mizuno, Tadahaya, Hattori, Kazuki, Oneyama, Chitose, Kamiya, Mako, Ota, Sadao, Urano, Yasuteru, Kojima, Ryosuke
Publikováno v:
Nature Communications; 11/19/2024, Vol. 15 Issue 1, p1-17, 17p