Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Renyuan Ma"'
Publikováno v:
Journal of Analytical Methods in Chemistry, Vol 2022 (2022)
Carcinoembryonic antigen (CEA) is a glycoprotein, one of the common tumor biomarkers, found at low levels in body fluids. Generally, overexpression of CEA is found in various cancers, including ovarian, breast, lung, colorectal, gastric, and pancreat
Externí odkaz:
https://doaj.org/article/00225509728d4d95b6b3fa86b0c3e352
Autor:
Marianna Bolla, Dongze Ye, Haoyu Wang, Renyuan Ma, Valentin Frappier, William Thompson, Catherine Donner, Máté Baranyi, Fatma Abdelkhalek
Publikováno v:
Econometrics, Vol 11, Iss 1, p 7 (2023)
A causal vector autoregressive (CVAR) model is introduced for weakly stationary multivariate processes, combining a recursive directed graphical model for the contemporaneous components and a vector autoregressive model longitudinally. Block Cholesky
Externí odkaz:
https://doaj.org/article/8f6b65dda7094d809c728fc59e38e9f6
Autor:
Zhenyu Jia, Jianguo Zhu, Yangjia Zhuo, Ruidong Li, Han Qu, Shibo Wang, Meiyue Wang, Jianming Lu, John M. Chater, Renyuan Ma, Ze-zhen Liu, Zhiduan Cai, Yongding Wu, Funeng Jiang, Huichan He, Wei-De Zhong, Chin-Lee Wu
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Diagnosis of the presence of tumors and subsequent prognosis based on tumor microenvironment becomes more clinically practical because tumor-adjacent tissues are easy to collect and they are more genetically homogeneous. The purpose of this study was
Externí odkaz:
https://doaj.org/article/69f78132f9584d7fb28644a5a467e330
Autor:
Marianna Bolla, Dongze Ye, Haoyu Wang, Renyuan Ma, Valentin Frappier, William Thompson, Catherine Donner, Máté Baranyi, Fatma Abdelkhalek
Publikováno v:
Econometrics
Volume 11
Issue 1
Pages: 7
Volume 11
Issue 1
Pages: 7
A causal vector autoregressive (CVAR) model is introduced for weakly stationary multivariate processes, combining a recursive directed graphical model for the contemporaneous components and a vector autoregressive model longitudinally. Block Cholesky
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6f114e2c86f8a4786dd040f8071cab
Autor:
John M. Chater, Yonghao Li, Shibo Wang, Renyuan Ma, Han Qu, Julong Wei, Weibo Xie, Ruidong Li, Zhenyu Jia
Publikováno v:
Heredity (Edinb)
Heredity, vol 123, iss 3
Heredity, vol 123, iss 3
Genomic prediction benefits hybrid rice breeding by increasing selection intensity and accelerating breeding cycles. With the rapid advancement of technology, other omic data, such as metabolomic data and transcriptomic data, are readily available fo
Autor:
John M. Chater, Ruidong Li, Julong Wei, Lei Yu, Shibo Wang, Yanru Cui, Zhenyu Jia, Han Qu, Yuhan Huang, Renyuan Ma, Jianguo Zhu, Le Zhang, Yang Xu, Jianming Lu, Rui Zhou, Meiyue Wang, Weide Zhong, Yuanfa Feng
Publikováno v:
Briefings in Bioinformatics. 22
Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment, which continues to be a pervas
Autor:
Meiyue Wang, Ruidong Li, Julong Wei, Zhenyu Jia, Yang Xu, Yanru Cui, Jianguo Zhu, Yuhan Huang, Le Zhang, Jianming Lu, Weide Zhong, Yuanfa Feng, Lei Yu, John M. Chater, Rui Zhou, Shibo Wang, Han Qu, Renyuan Ma
Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment which continues to be a pervasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1319965c1ae5a0b327b9c8e0f2a98c4
https://doi.org/10.1101/2020.06.02.115816
https://doi.org/10.1101/2020.06.02.115816
Autor:
John M. Chater, Xuehai Hu, Yiru Qiao, Yanru Cui, Yuhan Huang, Renyuan Ma, Zhenyu Jia, Shibo Wang, Lei Yu, Weibo Xie, Han Qu, Rui Zhou, Ruidong Li, Yang Xu
Publikováno v:
Briefings in bioinformatics. 22(3)
The multivariate genomic selection (GS) models have not been adequately studied and their potential remains unclear. In this study, we developed a highly efficient bivariate (2D) GS method and demonstrated its significant advantages over the univaria
Publikováno v:
Heredity (Edinb)
Knowledge of the genetic architecture of importantly agronomical traits can speed up genetic improvement in cultivated rice (Oryza sativa L.). Many recent investigations have leveraged genome-wide association studies (GWAS) to identify single nucleot
Autor:
Yashu Zhang, Jianguo Zhu, Mikeal L. Roose, SP Ferrante, Wei-de Zhong, Renyuan Ma, Chenwu Xu, Julong Wei, Jianming Lu, Lei Zhang, John M. Chater, Zhenyu Jia, Ruidong Li, Jen-Yung Chen, Han Qu, Shibo Wang
Knowledge of chromosome-length haplotypes will not only advance our understanding of the relationship between DNA and phenotypes, but also promote a variety of genetic applications. Here we present Hapi, an innovative method for chromosomal haplotype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cddc4e042250e001d4933d5b5175b25f
https://doi.org/10.1101/361873
https://doi.org/10.1101/361873