Identification of the Time-Varying Gene Network for Brain Development with Application to Mental Dis

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户:dongwinder
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Genetic association studies have identified dozens of susceptibility genes for mental diseases such as autism and schizophrenia.However,it remains mysterious that how these genes play their roles in the brain function.
其他文献
We consider a generalized PPA in the generic setting of finding a zero point of a maximal monotone operator,and show that the condition proposed by Rockafellar can also sufficiently ensure the linear
会议
We apply inner-iteration preconditioning to the left-and rightpreconditioned generalized minimal residual(GMRES)method(AB-and BAGMRES)for solving general least squares problems,whose solutions are the
会议
New preconditioners for least squares problems based on incomplete LU factorizations are presented.Two approaches are considered: computing an incomplete LU factorization of a suitable submatrix of th
会议
Large-scale reservoir simulation has been a big challenge due to the difficulty of solving linear systems resulted from nonlinear Newton iterations.
会议
In this problem the flow of a Viscoelastic fluid due to a linearly and quadraticaly stretching sheet and heat transfer characteristics using variable thermal conductivity is studied in the presence of
会议
In this presentation five parts will be given.Firstly,new results on quantization over networks are given.Secondly,new results on data fusion over networks are presented.Thirdly,a new networked predic
会议
The existence and uniqueness of solution for a type of backward stochastic differential equation driven by fractional Brownian motions and underlying standard Brownian motions is investigated.
会议
This paper investigates a stochastic optimal control problem with delay and of mean-field type,where the controlled state process is governed by a mean-field jump-diffusion stochastic delay differenti
会议
This paper is concerned with the connection between dynamic programming(DP)and maximum principle(MP)for the fully coupled forward-backward stochastic control system.where the recursive cost functional
会议
We focus on an FIR system to investigate the system identification under quantized inputs and quantized output observations.Based on the QCCE(quasi-convex combination estimator)and the weighted least
会议