Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations.
Antoine Buetti-DinhMalte HeroldStephan ChristelMohamed El HajjamiFrancesco DeloguOlga IlieSören BellenbergPaul WilmesAnsgar PoetschWolfgang SandMario VeraIgor V. PivkinRan FriedmanMark DopsonPublished in: BMC Bioinform. (2020)
Keyphrases
- reverse engineering
- steady state
- gene regulatory networks
- data analysis
- data sets
- genetic regulatory networks
- knowledge discovery
- statistical analysis
- database
- data sources
- data mining techniques
- query language
- software engineering
- markov chain
- high dimensional data
- xml documents
- data acquisition
- machine learning
- data mining