Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Yoshiko Wada"'
Autor:
Yui Sawada, Ryuhei Minei, Hiromasa Tabata, Toshimichi Ikemura, Kennosuke Wada, Yoshiko Wada, Hiroshi Nagata, Yuki Iwasaki
Publikováno v:
PeerJ, Vol 12, p e17025 (2024)
Insects are a highly diverse phylogeny and possess a wide variety of traits, including the presence or absence of wings and metamorphosis. These diverse traits are of great interest for studying genome evolution, and numerous comparative genomic stud
Externí odkaz:
https://doaj.org/article/dc2bfd65cfd84878ba9c424edc50a4f7
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background Emerging infectious disease-causing RNA viruses, such as the SARS-CoV-2 and Ebola viruses, are thought to rely on bats as natural reservoir hosts. Since these zoonotic viruses pose a great threat to humans, it is important to char
Externí odkaz:
https://doaj.org/article/8116bdfa230e4e1d8140b95be380da3b
Publikováno v:
BMC Microbiology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Unsupervised AI (artificial intelligence) can obtain novel knowledge from big data without particular models or prior knowledge and is highly desirable for unveiling hidden features in big data. SARS-CoV-2 poses a serious threat t
Externí odkaz:
https://doaj.org/article/d6802af88df045709346374d9cd6bcc7
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0273860 (2022)
Among mutations that occur in SARS-CoV-2, efficient identification of mutations advantageous for viral replication and transmission is important to characterize and defeat this rampant virus. Mutations rapidly expanding frequency in a viral populatio
Externí odkaz:
https://doaj.org/article/76e286cf1b194eceb6776a5ab9092d6f
Publikováno v:
Microorganisms, Vol 1, Iss 1, Pp 137-157 (2013)
With the remarkable increase of genomic sequence data of microorganisms, novel tools are needed for comprehensive analyses of the big sequence data available. The self-organizing map (SOM) is an effective tool for clustering and visualizing high-dime
Externí odkaz:
https://doaj.org/article/e957d7986d6c4d6c981d6844a5ccc541
Autor:
Yoshiko Wada, Hiromi Ozaki, Naomichi Abe, Tohru Nagamitsu, Hiroaki Ohta, Tsutomu Nakahara, Kunio Ishii
Publikováno v:
Journal of Pharmacological Sciences, Vol 112, Iss 3, Pp 290-298 (2010)
Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway during pregnancy contributes to several pathologic pregnancies, such as hypertension, preeclampsia, and intrauterine growth restriction, but its effects on the fetus have n
Externí odkaz:
https://doaj.org/article/2ec5e3ee391c42f5b17ad391009877ef
Comparative genomics of the human genome and six bat genomes using AI: Mb-level CpG and TFBS islands
BackgroundEmerging infectious disease RNA viruses, such as the SARS-CoV-2 and Ebola viruses, are thought to rely on bats as their natural reservoir hosts. Since these zoonotic viruses pose a great threat to humans, it should be important to character
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2686ce7ecb3660f43b09274b86a60c
https://doi.org/10.21203/rs.3.rs-1323531/v1
https://doi.org/10.21203/rs.3.rs-1323531/v1
Publikováno v:
Genesgenetic systems. 96(4)
In genetics and related fields, huge amounts of data, such as genome sequences, are accumulating, and the use of artificial intelligence (AI) suitable for big data analysis has become increasingly important. Unsupervised AI that can reveal novel know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151fcb77fe35252ef1ade10bf2c86f03
https://pubmed.ncbi.nlm.nih.gov/34565757
https://pubmed.ncbi.nlm.nih.gov/34565757
In genetics and related fields, huge amounts of data, such as genome sequences, are accumulating, and the use of artificial intelligence (AI) suitable for big data analysis has become increasingly important. Unsupervised AI that can reveal novel know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eb402285f4a0cc12aed6ae37db3c2a
https://doi.org/10.1101/2021.05.23.445371
https://doi.org/10.1101/2021.05.23.445371
Autor:
Kennosuke Wada, Mitsuaki Ogata, Yoshiko Wada, Toshimichi Ikemura, Rei Kajitani, Atsushi Toyoda, Ikuo Miura, Yukako Katsura, Takehiko Itoh, Yoko Satta
Publikováno v:
Life Science Alliance
Genome sequencing of a unique frog (Glandirana rugosa) having XY/ZW systems within the species and comparative genomics with other six frogs were performed using a batch-learning self-organizing map, which is unsupervised AI for oligonucleotide compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3f4f400519ad5f7bbd59bd45b4f91e3
http://europepmc.org/articles/PMC7994367
http://europepmc.org/articles/PMC7994367