Intrinsically Bayesian robust classifier for single-cell gene expression time series in gene regulatory networks
A Karbalayghareh, U Braga-Neto… - Proceedings of the 8th …, 2017 - dl.acm.org
This paper studies expression-based classification under the assumption that single-cell
measurements are sampled at a sufficient rate to detect regulatory timing. Observations are …
measurements are sampled at a sufficient rate to detect regulatory timing. Observations are …
[PDF][PDF] Graphic Model-Based Gene Regulatory Network Reconstruction Using RNA Sequencing Count Data
CAG Prieto, L López-Kleine - academia.edu
Interactions between genes, such as regulations are best represented by gene regulatory
networks (GRN). These are often constructed based on gene expression data. Few methods …
networks (GRN). These are often constructed based on gene expression data. Few methods …