Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Kazunori D. Yamada"'
Autor:
Yuka Nagase, Takao Satoh, Keiichi Shigetome, Naoto Tokumaru, Erika Matsumoto, Kazunori D. Yamada, Tadashi Imafuku, Hiroshi Watanabe, Toru Maruyama, Yasuhiro Ogata, Minoru Yoshida, Junji Saruwatari, Kentaro Oniki
Publikováno v:
Nutrients, Vol 15, Iss 4, p 809 (2023)
Circulating fatty acid composition is assumed to play an important role in metabolic dysfunction-associated fatty liver disease (MAFLD) pathogenesis. This study aimed to investigate the association between the overall balance of serum fatty acid comp
Externí odkaz:
https://doaj.org/article/c842ceb729bb4dbd8097ee8a6572795f
Autor:
Kazunori D. Yamada, Kengo Kinoshita
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architect
Externí odkaz:
https://doaj.org/article/4d6d6861d54b4a74a042e59bed1f8844
Autor:
Kazunori D. Yamada
Publikováno v:
Algorithms for Molecular Biology, Vol 13, Iss 1, Pp 1-8 (2018)
Abstract Background A profile-comparison method with position-specific scoring matrix (PSSM) is among the most accurate alignment methods. Currently, cosine similarity and correlation coefficients are used as scoring functions of dynamic programming
Externí odkaz:
https://doaj.org/article/d1d2bca55dce47b591553644bae43966
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-8 (2017)
Abstract Background N-terminal acetylation is one of the most common protein modifications in eukaryotes and occurs co-translationally when the N-terminus of the nascent polypeptide is still attached to the ribosome. This modification has been shown
Externí odkaz:
https://doaj.org/article/47081480587a48f59964a77bd946fd01
Publikováno v:
Neurocomputing. 507:221-234
Autor:
Kazunori D Yamada
Artificial intelligence that accumulates knowledge and presents it to users is likely to become a good friend to humanity. It is thought to be useful for such artificial intelligence to have the ability to continuously accumulate knowledge while oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::654c89c919d7ff1c1eabca45791323cd
https://doi.org/10.1101/2023.05.25.542376
https://doi.org/10.1101/2023.05.25.542376
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
Interdisciplinary Information Sciences. 28:95-105
Publikováno v:
Frontiers in Artificial Intelligence. 5
Attention mechanisms are one of the most frequently used architectures in the development of artificial intelligence because they can process contextual information efficiently. Various artificial intelligence architectures, such as Transformer for p
Publikováno v:
Interdisciplinary information sciences. 27(1):25-40