Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume 16, Issue 2, Pages 291-303
Publisher
Oxford University Press (OUP)
Online
2014-03-15
DOI
10.1093/bib/bbu003
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integrative analysis of miRNA and mRNA expression profiles in pheochromocytoma and paraganglioma identifies genotype-specific markers and potentially regulated pathways
- (2013) Aguirre A de Cubas et al. ENDOCRINE-RELATED CANCER
- Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis
- (2013) Y.-W. Kim et al. NEURO-ONCOLOGY
- Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia
- (2013) NEW ENGLAND JOURNAL OF MEDICINE
- Integrated analysis of microRNA and mRNA expression: adding biological significance to microRNA target predictions
- (2013) Maarten van Iterson et al. NUCLEIC ACIDS RESEARCH
- iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data
- (2012) Wenting Wang et al. BIOINFORMATICS
- Identifying multi-layer gene regulatory modules from multi-dimensional genomic data
- (2012) W. Li et al. BIOINFORMATICS
- Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses
- (2012) Wessel N van Wieringen et al. BMC BIOINFORMATICS
- Synergistic effect of different levels of genomic data for cancer clinical outcome prediction
- (2012) Dokyoon Kim et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Comprehensive molecular portraits of human breast tumours
- (2012) Daniel C. Koboldt et al. NATURE
- A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning
- (2012) Brian D. Bennett et al. PLoS One
- A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951
- (2011) M. J. van den Bent et al. CLINICAL CANCER RESEARCH
- Cancer genomics: from discovery science to personalized medicine
- (2011) Lynda Chin et al. NATURE MEDICINE
- Integrated Analyses of Copy Number Variations and Gene Expression in Lung Adenocarcinoma
- (2011) Tzu-Pin Lu et al. PLoS One
- On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
- (2011) Hajime Uno et al. STATISTICS IN MEDICINE
- Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
- (2010) Charlotte Soneson et al. BMC BIOINFORMATICS
- Integrative analysis of DNA copy number and gene expression in metastatic oral squamous cell carcinoma identifies genes associated with poor survival
- (2010) Chang Xu et al. Molecular Cancer
- Multi-Platform Whole-Genome Microarray Analyses Refine the Epigenetic Signature of Breast Cancer Metastasis with Gene Expression and Copy Number
- (2010) Joseph Andrews et al. PLoS One
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
- (2009) Ronglai Shen et al. BIOINFORMATICS
- Integrated analysis of DNA copy number and gene expression microarray data using gene sets
- (2009) Renée X Menezes et al. BMC BIOINFORMATICS
- ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
- (2008) J. Li et al. BIOSTATISTICS
- Penalized feature selection and classification in bioinformatics
- (2008) S. Ma et al. BRIEFINGS IN BIOINFORMATICS
- Molecular Classification of Acute Myeloid Leukemia: Are We There Yet?
- (2008) Jerald P. Radich JOURNAL OF CLINICAL ONCOLOGY
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways
- (2008) Roger McLendon et al. NATURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started