Inferring gene regulatory networks from single-cell data: a mechanistic approach.
Ulysse HerbachArnaud BonnaffouxThibault EspinasseOlivier GandrillonPublished in: BMC systems biology (2017)
Our results demonstrate that functional interactions between genes can be inferred from the distribution of a mechanistic, dynamical stochastic model that is able to describe gene expression in individual cells. This approach seems promising in relation to the current explosion of single-cell expression data.
Keyphrases
- single cell
- gene expression
- rna seq
- electronic health record
- induced apoptosis
- poor prognosis
- big data
- high throughput
- dna methylation
- cell cycle arrest
- genome wide
- cell death
- endoplasmic reticulum stress
- machine learning
- cell proliferation
- data analysis
- pi k akt
- transcription factor
- bioinformatics analysis
- network analysis