An extended kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 6, Issue 3, 2009, Pages 410-419

  Wang, Zidong ^a   Liu, Xiaohui ^a   Liu, Yurong ^b   Liang, Jinling ^c   Vinciotti, Veronica ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b SOUTHEAST UNIVERSITY   (China)

^c YANGZHOU UNIVERSITY   (China)

Author keywords

Clustering; DNA microarray technology; Extended Kalman filtering; Gene expression; Modeling; Time series data

Indexed keywords

CLUSTERING; DNA MICROARRAY TECHNOLOGY; EXTENDED KALMAN FILTERING; MODELING; TIME SERIES DATA;

ALGORITHMS; BIOACTIVITY; BIOINFORMATICS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; DNA; EXTENDED KALMAN FILTERS; GENE EXPRESSION; LAWS AND LEGISLATION; NONLINEAR CONTROL SYSTEMS; NONLINEAR EQUATIONS; NUCLEIC ACIDS; STOCHASTIC MODELS; TIME SERIES;

PARAMETER ESTIMATION;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENE REGULATORY NETWORK; GENETICS; GENOMICS; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; VIRUS; YEAST;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; GENE EXPRESSION; GENE REGULATORY NETWORKS; GENOMICS; MODELS, GENETIC; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; VIRUSES; YEASTS;

EID: 68649105450     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2009.5     Document Type: Article

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