Detection of candidate tumor driver genes using a fully integrated Bayesian approach
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 …
significant changes in gene expression and are closely related to the development and …
Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework
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 …
cancer is key to advancing diagnostics, therapeutics and treatment. Given the complexity of …
MADGiC: a model-based approach for identifying driver genes in cancer
KD Korthauer, C Kendziorski - Bioinformatics, 2015 - academic.oup.com
Motivation: Identifying and prioritizing somatic mutations is an important and challenging
area of cancer research that can provide new insights into gene function as well as new …
area of cancer research that can provide new insights into gene function as well as new …
Driver gene detection through Bayesian network integration of mutation and expression profiles
Motivation The identification of mutated driver genes and the corresponding pathways is one
of the primary goals in understanding tumorigenesis at the patient level. Integration of multi …
of the primary goals in understanding tumorigenesis at the patient level. Integration of multi …
A Bayesian framework for integrating copy number and gene expression data
Diverse types of cancer genomics data are being collected widely and rapidly with the aim to
systemically examine the origin and dynamics of different diseases. An important premise is …
systemically examine the origin and dynamics of different diseases. An important premise is …
Modeling the altered expression levels of genes on signaling pathways in tumors as causal bayesian networks
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 …
pathways can be modeled using a causal Bayesian network (BN) that is altered in tumorous …
Non-linear Bayesian framework to determine the transcriptional effects of cancer-associated genomic aberrations
A Razi, N Banerjee, N Dimitrova… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
While the tumorigenic effects of specific recurrent mutations in known cancer driver-genes is
well-characterized, not much is known about the functional relevance of the vast majority of …
well-characterized, not much is known about the functional relevance of the vast majority of …
[HTML][HTML] A Novel Bayesian Framework Infers Driver Activation States and Reveals Pathway-Oriented Molecular Subtypes in Head and Neck Cancer
Simple Summary Numerous factors, such as genomic mutations, chromosomal changes,
transcriptional controls, phosphorylation, and protein–protein interactions, among others …
transcriptional controls, phosphorylation, and protein–protein interactions, among others …
[HTML][HTML] Pan-cancer and single-cell modeling of genomic alterations through gene expression
D Mercatelli, F Ray, FM Giorgi - Frontiers in genetics, 2019 - frontiersin.org
Cancer is a disease often characterized by the presence of multiple genomic alterations,
which trigger altered transcriptional patterns and gene expression, which in turn sustain the …
which trigger altered transcriptional patterns and gene expression, which in turn sustain the …
Tumor-specific causal inference (tci): A bayesian method for identifying causative genome alterations within individual tumors
Precision medicine for cancer involves identifying and targeting the somatic genome
alterations (SGAs) that drive the development of an individual tumor. Much of current efforts …
alterations (SGAs) that drive the development of an individual tumor. Much of current efforts …