The evolution of tumour phylogenetics: principles and practice
R Schwartz, AA Schäffer - Nature Reviews Genetics, 2017 - nature.com
Rapid advances in high-throughput sequencing and a growing realization of the importance
of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic studies …
of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic studies …
BRCA1 and BRCA2: Chemosensitivity, Treatment Outcomes and Prognosis
WD Foulkes - Familial cancer, 2006 - Springer
BRCA1 and BRCA2 are important breast and ovarian cancer susceptibility genes, and
mutations in these two genes confer lifetime risks of breast cancer of up to 80% and ovarian …
mutations in these two genes confer lifetime risks of breast cancer of up to 80% and ovarian …
[HTML][HTML] BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies
Cancer has long been understood as a somatic evolutionary process, but many details of
tumor progression remain elusive. Here, we present BitPhylogeny, a probabilistic framework …
tumor progression remain elusive. Here, we present BitPhylogeny, a probabilistic framework …
Phylogenetics algorithms and applications
G Munjal, M Hanmandlu, S Srivastava - Ambient Communications and …, 2019 - Springer
Phylogenetics is a powerful approach in finding evolution of current day species. By
studying phylogenetic trees, scientists gain a better understanding of how species have …
studying phylogenetic trees, scientists gain a better understanding of how species have …
[HTML][HTML] Timed hazard networks: Incorporating temporal difference for oncogenetic analysis
J Chen - Plos one, 2023 - journals.plos.org
Oncogenetic graphical models are crucial for understanding cancer progression by
analyzing the accumulation of genetic events. These models are used to identify statistical …
analyzing the accumulation of genetic events. These models are used to identify statistical …
[HTML][HTML] Inferring latent temporal progression and regulatory networks from cross-sectional transcriptomic data of cancer samples
Unraveling molecular regulatory networks underlying disease progression is critically
important for understanding disease mechanisms and identifying drug targets. The existing …
important for understanding disease mechanisms and identifying drug targets. The existing …
[HTML][HTML] Applying unmixing to gene expression data for tumor phylogeny inference
R Schwartz, SE Shackney - BMC bioinformatics, 2010 - Springer
Background While in principle a seemingly infinite variety of combinations of mutations
could result in tumor development, in practice it appears that most human cancers fall into a …
could result in tumor development, in practice it appears that most human cancers fall into a …
PhyloOncology: understanding cancer through phylogenetic analysis
JA Somarelli, KE Ware, R Kostadinov… - … et Biophysica Acta (BBA …, 2017 - Elsevier
Despite decades of research and an enormity of resultant data, cancer remains a significant
public health problem. New tools and fresh perspectives are needed to obtain fundamental …
public health problem. New tools and fresh perspectives are needed to obtain fundamental …
[HTML][HTML] Resolving tumor evolution: a phylogenetic approach
L Li, W Xie, L Zhan, S Wen, X Luo, S Xu, Y Cai… - Journal of the National …, 2024 - Elsevier
The evolutionary dynamics of cancer, characterized by its profound heterogeneity, demand
sophisticated tools for a holistic understanding. This review delves into tumor phylogenetics …
sophisticated tools for a holistic understanding. This review delves into tumor phylogenetics …
[HTML][HTML] Discovering biological progression underlying microarray samples
In biological systems that undergo processes such as differentiation, a clear concept of
progression exists. We present a novel computational approach, called Sample Progression …
progression exists. We present a novel computational approach, called Sample Progression …