A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing.
Single-cell RNA and ATAC sequencing technologies enable the examination of gene expression and chromatin accessibility in individual cells, providing insights into cellular phenotypes. In cancer research, it is important to consistently analyze these states within an evolutionary context on genetic...
Main Authors: | Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto D'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-11-01
|
Series: | PLoS Computational Biology |
Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011557&type=printable |
Similar Items
-
Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc
by: Alice Antonello, et al.
Published: (2024-01-01) -
Effects of delayed immune-response in tumor immune-system interplay
by: Alberto d'Onofrio, et al.
Published: (2012-08-01) -
Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal Networks
by: Daniele Ramazzotti, et al.
Published: (2018-07-01) -
Inferring tree causal models of cancer progression with probability raising.
by: Loes Olde Loohuis, et al.
Published: (2014-01-01) -
Analysis of the spatial and dynamical properties of a multiscale model of intestinal crypts
by: Marco Antoniotti, et al.
Published: (2013-09-01)