Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yong-Hong Ren"'
Autor:
Fan-Lin Meng, Xiao-Ling Huang, Wen-Yan Qin, Kun-Bang Liu, Yan Wang, Ming Li, Yong-Hong Ren, Yan-Ze Li, Yi-Min Sun
Publikováno v:
Biomarker Research, Vol 11, Iss 1, Pp 1-5 (2023)
Abstract Annotating cells in the analysis of single-cell RNA-seq (scRNA-seq) data is one of the most challenging tasks that researchers are actively addressing. Manual cell annotation is generally considered the gold standard method, although it is l
Externí odkaz:
https://doaj.org/article/29f959646e334d26b1aa7492cfe319d1
Autor:
Xin-Hua Wu, Yang-Yang He, Zhang-Rong Chen, Ze-Yuan He, Yi Yan, Yangzhige He, Guang-Ming Wang, Yu Dong, Ying Yang, Yi-Min Sun, Yong-Hong Ren, Qiu-Yan Zhao, Xiao-Dan Yang, Li-Ying Wang, Cai-Jun Fu, Miao He, Si-Jin Zhang, Ji-Fen Fu, Hong Liu, Zhi-Cheng Jing
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Single cell transcriptomic sequencing (scRNA) can identify genes that are differentially expressed in cell populations in specific diseases. Here the authors perform scRNA sequencing in a high-altitude pulmonary hypertension (HAPH) cohort and show tr
Externí odkaz:
https://doaj.org/article/fd2e031871344431a25f4ada3f8a4986
Autor:
Yong-Hong Ren
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
Nonlinear Lagrangian algorithm plays an important role in solving constrained optimization problems. It is known that, under appropriate conditions, the sequence generated by the first-order multiplier iteration converges superlinearly. This paper ai
Externí odkaz:
https://doaj.org/article/a19fc5c17dbe4518830a3a5f23dcf3d1
Publikováno v:
Far East Journal of Applied Mathematics. 104:97-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff8585cddfb35330f6e802dd0d858e80
https://doi.org/10.17654/am104020097
https://doi.org/10.17654/am104020097
Autor:
Jie Yang, Zhen Long Wang, Xin Quan Zhao, De Peng Wang, De Lin Qi, Bao Hong Xu, Yong Hong Ren, Hui Fang Tian
Publikováno v:
PLoS ONE, Vol 3, Iss 1, p e1472 (2008)
BACKGROUND: Environmental stress can accelerate the evolutionary rate of specific stress-response proteins and create new functions specialized for different environments, enhancing an organism's fitness to stressful environments. Pikas (order Lagomo
Externí odkaz:
https://doaj.org/article/b128e5f46c764729ba992698034a2837
Publikováno v:
Operations Research Letters. 45:456-460
In this paper, error bounds for affine variational inequalities with second-order cone constraints are considered. Examples are given to show that, in general, Lipschitz error bounds may be invalid for affine second-order cone inclusion problems. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77492b313fa67d14824227a5f0d22bf1
https://doi.org/10.1016/j.orl.2017.06.006
https://doi.org/10.1016/j.orl.2017.06.006
Publikováno v:
Far East Journal of Applied Mathematics. 94:365-375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4109cd92b5d9ca494bf1c0092a25cb6
https://doi.org/10.17654/am094050365
https://doi.org/10.17654/am094050365
Publikováno v:
Asia-Pacific Journal of Operational Research. 25:327-371
This paper establishes a theory framework of a class of nonlinear Lagrangians for solving nonlinear programming problems with inequality constraints. A set of conditions are proposed to guarantee the convergence of nonlinear Lagrangian algorithms, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94a7b535744413a2406f7e7ba5fba03f
https://doi.org/10.1142/s021759590800178x
https://doi.org/10.1142/s021759590800178x
Publikováno v:
Applied Mathematics and Computation. 188:1344-1363
This paper proposes a nonlinear Lagrangian Based on Fischer-Burmeister NCP function for solving nonlinear programming problems with inequality constraints. The convergence theorem shows that the sequence of points generated by this nonlinear Lagrange
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc2f47d14052f8b38691a21fb8e93aa9
https://doi.org/10.1016/j.amc.2006.10.084
https://doi.org/10.1016/j.amc.2006.10.084
Publikováno v:
Chaos, Solitons & Fractals. 29:920-927
A generalized tan h function method is used for constructing exact travelling wave solutions of nonlinear stochastic partial differential equations. The main idea of this method is to take full advantage of the Riccati equation, which has more exact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5058d96ceecddb900a8d855d59dfb2
https://doi.org/10.1016/j.chaos.2005.08.056
https://doi.org/10.1016/j.chaos.2005.08.056