Work

CBN2Path: an R/Bioconductor package for the analysis of cancer progression pathways using Conjunctive Bayesian Networks

Year: 2025

Type: article

Abstract: Conjunctive Bayesian Networks (CBN) are probabilistic graphical models used to describe mutation accumulation processes such as tumorigenesis. Several CBN models exist, which have enabled the analysis and modeling of cancer progression pathways using cross-sectional genomic data. However, these models are implemented in different languages with heterogeneous input and output formats. Moreover, the recent developments towards robust inference of cancer progression pathways (i.e., the R-CBN and B-CBN models), highlight the need for departure from the maximum-likelihood-based frameworks (i.e., the CT-CBN and H-CBN models), which requires substantial implementational adjustments. Thus, we introduce the CBN2Path R/Bioconductor package that not only provides a unifying interface to accommodate all CBN models, but it also offers the necessary functionalities to facilitate robust inference, analysis and visualization of cancer progression pathways.

Source: F1000Research

DOI: 10.12688/f1000research.168810.1

Authors: William Choi-Kim, Sayed-Rzgar Hosseini

Institutions: The University of Texas Health Science Center at Houston, Indiana State University

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,350