The c-Myc target gene network
For more than a decade, numerous studies have suggested that the c-Myc oncogenic
protein is likely to broadly influence the composition of the transcriptome. However, the …
protein is likely to broadly influence the composition of the transcriptome. However, the …
The cell cycle and cancer
GH Williams, K Stoeber - The Journal of pathology, 2012 - Wiley Online Library
Deregulation of the cell cycle underlies the aberrant cell proliferation that characterizes
cancer and loss of cell cycle checkpoint control promotes genetic instability. During the past …
cancer and loss of cell cycle checkpoint control promotes genetic instability. During the past …
Oncogenic pathway signatures in human cancers as a guide to targeted therapies
The development of an oncogenic state is a complex process involving the accumulation of
multiple independent mutations that lead to deregulation of cell signalling pathways central …
multiple independent mutations that lead to deregulation of cell signalling pathways central …
Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subty** and prognosis signatures
Introduction Breast cancer subty** and prognosis have been studied extensively by gene
expression profiling, resulting in disparate signatures with little overlap in their constituent …
expression profiling, resulting in disparate signatures with little overlap in their constituent …
[HTML][HTML] Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer
GV Glinsky, O Berezovska… - The Journal of clinical …, 2005 - Am Soc Clin Investig
Activation in transformed cells of normal stem cells' self-renewal pathways might contribute
to the survival life cycle of cancer stem cells and promote tumor progression. The BMI-1 …
to the survival life cycle of cancer stem cells and promote tumor progression. The BMI-1 …
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival
Based on the hypothesis that features of the molecular program of normal wound healing
might play an important role in cancer metastasis, we previously identified consistent …
might play an important role in cancer metastasis, we previously identified consistent …
Classification with correlated features: unreliability of feature ranking and solutions
L Toloşi, T Lengauer - Bioinformatics, 2011 - academic.oup.com
Motivation: Classification and feature selection of genomics or transcriptomics data is often
hampered by the large number of features as compared with the small number of samples …
hampered by the large number of features as compared with the small number of samples …
The properties of high-dimensional data spaces: implications for exploring gene and protein expression data
High-throughput genomic and proteomic technologies are widely used in cancer research to
build better predictive models of diagnosis, prognosis and therapy, to identify and …
build better predictive models of diagnosis, prognosis and therapy, to identify and …
Enabling personalized cancer medicine through analysis of gene-expression patterns
LJ Van't Veer, R Bernards - Nature, 2008 - nature.com
Therapies for patients with cancer have changed gradually over the past decade, moving
away from the administration of broadly acting cytotoxic drugs towards the use of more …
away from the administration of broadly acting cytotoxic drugs towards the use of more …
Incorporating machine learning into established bioinformatics frameworks
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …