Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Yanting, Guo"'
Publikováno v:
Acta Materia Medica, Vol 3, Iss 1, Pp 20-30 (2024)
Previous epidemiologic studies have shown a close association between type 1 diabetes mellitus (T1DM), hyperlipidemia, and inflammatory bowel disease (IBD), but the causal relationship has not been established. In the current study the causal relatio
Externí odkaz:
https://doaj.org/article/16eb9023d2d2404d8298a1f133f0966a
Autor:
Yanhua Yue, Yang Cao, Xunyuan Mao, Fei Wang, Peng Fan, Long Qian, Shuxin Guo, Feng Li, Yanting Guo, Tongbing Chen, Yan Lin, Weimin Dong, Yue Liu, Yuhui Huang, Weiying Gu
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Multiple myeloma (MM) remains a common hematologic malignancy with a 10-year survival rate below 50%, which is largely due to disease relapse and resistance. The lack of a simple and practical approach to establish myeloma patient-derived xenograft (
Externí odkaz:
https://doaj.org/article/76a9c38f58c44d7792c0b79bd02f7a9c
Autor:
Ruijie Lv, Yanting Guo, Weici Liu, Guangjian Dong, Xiangyin Liu, Caihui Li, Yi Ren, Zipeng Zhang, Shi-Yong Neo, Wenjun Mao, Jing Wu
Publikováno v:
Theranostics; 2024, Vol. 14 Issue 19, p7424-7447, 24p
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101873- (2022)
Isobaric chemical tag labeling for quantification of intact proteins in complex samples is limited due to the tendency of intact proteins precipitate under labeling conditions and increased sample complexity as a result of side products (i.e., incomp
Externí odkaz:
https://doaj.org/article/7a6817a0dad74091ab87e44545d2bc8c
Publikováno v:
Analytical Science Advances.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd89c90b10e0ec86f4e5913df01f0e00
https://doi.org/10.1002/ansa.202300016
https://doi.org/10.1002/ansa.202300016
Autor:
Peng Xu, Juan Liu, Huijuan Chen, Limei Shang, Fei Wang, Yuandong Zhu, Yanting Guo, Feng Li, Feng Yan, Xiaobao Xie, Liang Li, Weiying Gu, Yan Lin
Publikováno v:
Annals of Hematology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e94ca7b35deb9d34cb102c2c8da1b3eb
https://doi.org/10.1007/s00277-023-05259-6
https://doi.org/10.1007/s00277-023-05259-6
Publikováno v:
IEEE Transactions on Cybernetics. 52:5559-5572
Attribute reduction is one of the most important preprocessing steps in machine learning and data mining. As a key step of attribute reduction, attribute evaluation directly affects classification performance, search time, and stopping criterion. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75b895cc3ab0ddab8e72722f24eb2afe
https://doi.org/10.1109/tcyb.2020.3040803
https://doi.org/10.1109/tcyb.2020.3040803
Autor:
Yanting Guo, Gang Zheng
Publikováno v:
IEEE Transactions on Engineering Management. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f283aadc6ae3a1784a44697cf951e2b
https://doi.org/10.1109/tem.2021.3095551
https://doi.org/10.1109/tem.2021.3095551
Publikováno v:
Information Sciences. 584:301-324
The k -nearest-neighbor rule is a popular classification technique , and rough set theory is an effective mathematical tool to deal with the uncertainty of data. Rough set models based on k -nearest-neighbor relations have a strong ability to approxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40390504392b232d56d14d370683e97e
https://doi.org/10.1016/j.ins.2021.10.063
https://doi.org/10.1016/j.ins.2021.10.063
Autor:
Yanting Guo, Trishika Chowdhury, Meena Seshadri, Kellye A. Cupp-Sutton, Qingyu Wang, Dahang Yu, Si Wu
Publikováno v:
J Proteome Res
Isobaric chemical tag labeling (e.g., TMT) is a commonly used approach in quantitative proteomics, and quantification is enabled through detection of low-mass reporter ions generated after MS2 fragmentation. Recently, we have introduced and optimized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd424286b73ad4272ed9b523528c222
https://pubmed.ncbi.nlm.nih.gov/36603205
https://pubmed.ncbi.nlm.nih.gov/36603205