Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yunbing Chen"'
Publikováno v:
Cell & Bioscience, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract N 6-methyladenosine (m6A) represents the most prevalent internal and reversible modification on RNAs. Different cell types display their unique m6A profiles, which are determined by the functions of m6A writers and erasers. M6A modifications
Externí odkaz:
https://doaj.org/article/745b0df9b3e749a5814aff9e9141cd0a
Autor:
Jin Zhang, Lingling Tong, Yuchen Liu, Xiang Li, Jiayi Wang, Ruoxin Lin, Ziyu Zhou, Yunbing Chen, Yanxi Chen, Yirong Liu, Di Chen
Publikováno v:
Genes and Diseases, Vol 11, Iss 5, Pp 101199- (2024)
As the most prevalent and reversible internal epigenetic modification in eukaryotic mRNAs, N6-methyladenosine (m6A) post-transcriptionally regulates the processing and metabolism of mRNAs involved in diverse biological processes. m6A modification is
Externí odkaz:
https://doaj.org/article/61c0d7e0e6d045f1be238f270384276c
Publikováno v:
IEEE Access, Vol 8, Pp 163829-163843 (2020)
The polarization of world languages is becoming more and more obvious. Many languages, mainly endangered languages, are of low-resource attribute due to lack of information. Both language conservation and cultural heritage face important challenges.
Externí odkaz:
https://doaj.org/article/27e909d2e77d4273a1a6248ce4a66821
Publikováno v:
Symmetry, Vol 11, Iss 2, p 179 (2019)
To rescue and preserve an endangered language, this paper studied an end-to-end speech recognition model based on sample transfer learning for the low-resource Tujia language. From the perspective of the Tujia language international phonetic alphabet
Externí odkaz:
https://doaj.org/article/63d31cd49c464cde8917482cc6a865f3
Publikováno v:
Current Medical Imaging Formerly Current Medical Imaging Reviews. 19:476-485
Background: The non-small cell variant of lung cancer (NSCLC) has a poorer prognosis. It is typically diagnosed through non-invasive imaging. Of particular note has been FDG-PET/CT, which has been investigated across various settings with differing r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3ae558eff9837399aaed4bf9fdb3b60
https://doi.org/10.2174/1573405618666220802101446
https://doi.org/10.2174/1573405618666220802101446
Autor:
Chunsheng Li, Mingjian Liao, Zhiquan He, Yunbing Chen, Jingna Mai, Rui Dong, Junhua Chen, Lianfen Chen
Publikováno v:
ChemistrySelect. 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::132151366ecd0770cbe7d7aa13a06ef6
https://doi.org/10.1002/slct.202300845
https://doi.org/10.1002/slct.202300845
Publikováno v:
Computational and Mathematical Methods in Medicine. 2022:1-8
Objective. To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring. Methods. We retrospectively selected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a529af04a60580fd02b265f0d49cc77
https://doi.org/10.1155/2022/2864170
https://doi.org/10.1155/2022/2864170
Publikováno v:
The Ninth International Symposium of Chinese CHI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e175c9006890e4425eaaed1a5aed880
https://doi.org/10.1145/3490355.3490376
https://doi.org/10.1145/3490355.3490376
Publikováno v:
2019 Chinese Control And Decision Conference (CCDC).
The number of shared bicycles is large and the parking is not standardized. Accurate position prediction of the bicycle can effectively prevent the collision between the number of vehicles and the parking position. The traditional machine learning al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da9f68670a85ce70c4e617b44061c76a
https://doi.org/10.1109/ccdc.2019.8833193
https://doi.org/10.1109/ccdc.2019.8833193
Publikováno v:
Symmetry; Volume 11; Issue 2; Pages: 179
Symmetry, Vol 11, Iss 2, p 179 (2019)
Symmetry, Vol 11, Iss 2, p 179 (2019)
To rescue and preserve an endangered language, this paper studied an end-to-end speech recognition model based on sample transfer learning for the low-resource Tujia language. From the perspective of the Tujia language international phonetic alphabet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c479cb3fca26d381fd8aedac8a8b92