This paper concerns a study indicating that the expression levels of genes in signaling
pathways can be modeled using a causal Bayesian network (BN) that is altered in tumorous …

Background Signaling networks are of great importance for us to understand the cell's
regulatory mechanism. The rise of large-scale genomic and proteomic data, and prior …

Cellular signaling and dynamic interaction among genes result in stable phenotype
structures such as tumor or non tumor cells. Tumor and non-tumor cells often contain some …

The paper is devoted to two questions: whether distinction of causes versus effects of
neoplasia leaves a signature in the cancer versus normal gene expression profiles and …

Cancer is a genetic disease (Vogelstein and Kinzler 2004). Decades of research in
molecular genetics have identified a number of important genes responsible for the genesis …

DNA copy number alterations (CNAs), including amplifications and deletions, can result in
significant changes in gene expression and are closely related to the development and …

Using a machine learning method, this study aimed to identify unique causal networks of
genes associated with bone, brain, and lung metastasis of breast cancer. Bayesian network …

Motivation Comprehensive catalogue of genes that drive tumor initiation and progression in
cancer is key to advancing diagnostics, therapeutics and treatment. Given the complexity of …

The Recursive Bayesian Net formalism was originally developed for modelling nested
causal relationships. In this paper we argue that the formalism can also be applied to …

Motivation: Protein signaling networks play a key role in cellular function, and their
dysregulation is central to many diseases, including cancer. To shed light on signaling …