A Self-organizing State Space Approach to Inferring Time-Varying Causalities between Regulatory Proteins.
Osamu HiroseKentaro ShimizuPublished in: ITBAM (2010)
Keyphrases
- state space
- dna binding
- living cells
- cis regulatory
- heuristic search
- neural network
- protein sequences
- protein protein interactions
- signaling pathways
- reinforcement learning
- dynamic programming
- markov decision processes
- protein structure
- dynamical systems
- protein protein interaction networks
- particle filter
- protein function
- state variables
- continuous time markov process
- subcellular localization
- high throughput
- reinforcement learning algorithms
- amino acids
- amino acid sequences
- protein structure prediction
- search space
- planning problems
- computational methods
- protein folding
- transcription factors
- belief state
- physicochemical properties
- action space
- biological processes
- global exponential stability
- genome wide
- chemical compounds
- interaction networks
- microarray
- optimal policy
- secondary structure
- molecular biology