Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling.
Yukun TanFernando B. Lima NetoUlisses M. Braga-NetoPublished in: MLSP (2020)
Keyphrases
- sequential monte carlo
- mass spectrometry data
- protein protein interaction networks
- mass spectrometry
- visual tracking
- particle filter
- posterior distribution
- high throughput
- markov chain monte carlo
- particle filtering
- bayesian inference
- importance sampling
- bayesian networks
- data sets
- functional modules
- biological networks
- drug discovery
- genomic data
- probability distribution
- data mining
- latent variables
- parameter estimation
- protein protein interactions
- expectation maximization
- markov chain