Rao-Blackwellised Particle Filter for gene regulation networks

摘要：

We propose two stage state-space models for genetic networks and estimate the parameter using raoblakwellised particle filter. This article offers three novel improvement strategies of RBPF. One is that considering multiple samples suits for time-course data (panel data), which seldom appear in engineer application but it was common in biology area. Another is proposing two-stage state space model for gene regulation network. The third is that we modified the RBPF, which requires single kalman filter iteration per input sample. A simple illustrative example and real world SOS data show that our method significantly reducing computational complexity and obtaining good convergence. All of those make the algorithm in this paper possible for real-time implementations.

关键词： gene regulation network rao-blakwellished particle filer state space model two dynamic system

作者: Xiaodian Sun Qinghua Zhou

作者单位: Theoretic Systems Lab, School of Life Science Fudan University Shanghai, China College of Mathematics and Computer Hebei University Baoding, China Theoretic Systems Lab, School of

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 338-341

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）