Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Linear System Theory and Design
Linear System Theory and Design
Phase-independent rhythmic analysis of genome-wide expression patterns
Proceedings of the sixth annual international conference on Computational biology
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Using a state-space model and location analysis to infer time-delayed regulatory networks
EURASIP Journal on Bioinformatics and Systems Biology
Agent-based model of macrophage action on endocrine pancreas
International Journal of Data Mining and Bioinformatics
Reverse engineering of gene regulatory networks from biological data
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
BoneNET: a network model of bone microstructure and dynamics
International Journal of Data Mining and Bioinformatics
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This study proposes a state-space model with control portion for inferring Gene Regulatory Networks (GRNs). The proposed model views genes as the observation variables, whose expression values depend on the current internal state variables and control variables, and views the means of clusters of gene expression as the control variables of the internal state equation. Bayesian Information Criterion (BIC) and Probabilistic Principal Component Analysis (PPCA) are used to estimate the internal states from observation data. The proposed approach is applied to two gene expression datasets. Computational results show that inferred GRNs possesses the characteristics of the real-life GRNs.