Nested Stochastic Block Models applied to the analysis of single cell data
Single cell profiling has been proven to be a powerful tool in molecular biology to understand the complex behaviours of heterogeneous system. The definition of the properties of single cells is the primary endpoint of such analysis, cells are typically clustered to underpin the common determinants...
Main Authors: | Cittaro, D. (Author), Giansanti, V. (Author), Morelli, L. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2021
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
by: Kwangbom Choi, et al.
Published: (2020-07-01) -
Stochastic transcription in the p53‐mediated response to DNA damage is modulated by burst frequency
by: Dhana Friedrich, et al.
Published: (2019-12-01) -
stochprofML: stochastic profiling using maximum likelihood estimation in R
by: Lisa Amrhein, et al.
Published: (2021-03-01) -
Single-cell growth probability of Listeria monocytogenes at suboptimal temperature, pH and water activity
by: Jean-Christophe eAugustin, et al.
Published: (2012-04-01) -
Computation of Single-Cell Metabolite Distributions Using Mixture Models
by: Mona K. Tonn, et al.
Published: (2020-12-01)