Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiao‐zhao Liu"'
Autor:
Ning‐hua Mei, Shi‐meng Guo, Qi Zhou, Yi‐ran Zhang, Xiao‐zhao Liu, Ying Yin, Ximiao He, Jing Yang, Tai‐lang Yin, Li‐quan Zhou
Publikováno v:
Advanced Science, Vol 10, Iss 12, Pp n/a-n/a (2023)
Abstract Significantly decreased H3K4 methylation in oocytes from aged mice indicates the important roles of H3K4 methylation in female reproduction. However, how H3K4 methylation regulates oocyte development remains largely unexplored. In this study
Externí odkaz:
https://doaj.org/article/065bb0620036479691131bf444ac6f21
Autor:
Ying Yin, Xiao-zhao Liu, Qing Tian, Yi-xian Fan, Zhen Ye, Tian-qing Meng, Gong-hong Wei, Cheng-liang Xiong, Hong-gang Li, Ximiao He, Li-quan Zhou
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Comprehensive analyses showed that SARS-CoV-2 infection caused COVID-19 and induced strong immune responses and sometimes severe illnesses. However, cellular features of recovered patients and long-term health consequences remain largely unexplored.
Externí odkaz:
https://doaj.org/article/36399aea38ef4571a8dc881e472a0c2d
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
There is an increased global outbreak of diseases caused by coronaviruses affecting respiratory tracts of birds and mammals. Recent dangerous coronaviruses are MERS-CoV, SARS-CoV, and SARS-CoV-2, causing respiratory illness and even failure of severa
Externí odkaz:
https://doaj.org/article/e7fe381caa4946998368437233e24d5c
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
Frontiers in Cellular and Infection Microbiology
Frontiers in Cellular and Infection Microbiology
Background: There is an increased global outbreak of diseases caused by coronaviruses affecting respiratory tracts of birds and mammals. Recent particularly dangerous coronaviruses are MERS-CoV, SARS-CoV and SARS-CoV-2, causing respiratory illness an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03dd7bd4128426a6bb4337dacfda767
https://doi.org/10.21203/rs.3.rs-40063/v1
https://doi.org/10.21203/rs.3.rs-40063/v1
Publikováno v:
2009 International Conference on Wavelet Analysis and Pattern Recognition.
Hidden Markov tree (HMT) is a tree-structure statistical model, which is used to capture the statistical structure information of smooth and singular regions. It works by modeling the relationship between the wavelet coefficients interscales. For the
Publikováno v:
2009 International Conference on Wavelet Analysis & Pattern Recognition; 2009, p396-401, 6p