The c-Myc target gene network

CV Dang, KA O'Donnell, KI Zeller, T Nguyen… - Seminars in cancer …, 2006 - Elsevier
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 …

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 …

Oncogenic pathway signatures in human cancers as a guide to targeted therapies

AH Bild, G Yao, JT Chang, Q Wang, A Potti, D Chasse… - Nature, 2006 - nature.com
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 …

Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subty** and prognosis signatures

P Wirapati, C Sotiriou, S Kunkel, P Farmer… - Breast Cancer …, 2008 - Springer
Introduction Breast cancer subty** and prognosis have been studied extensively by gene
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 …

Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival

HY Chang, DSA Nuyten, JB Sneddon… - Proceedings of the …, 2005 - National Acad Sciences
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 …

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 …

The properties of high-dimensional data spaces: implications for exploring gene and protein expression data

R Clarke, HW Ressom, A Wang, J Xuan, MC Liu… - Nature reviews …, 2008 - nature.com
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 …

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 …

Incorporating machine learning into established bioinformatics frameworks

N Auslander, AB Gussow, EV Koonin - International journal of molecular …, 2021 - mdpi.com
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 …