G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
暂无分享,去创建一个
Serdar Bozdag | Howard A. Fine | Jennifer Walling | Susie Ahn | Svetlana Kotliarova | J. Walling | H. Fine | M. Cam | S. Bozdag | J. Killian | H. Stevenson | Mehmet Baysan | Margaret C. Cam | Jonathan K. Killian | Holly Stevenson | Paul Meltzer | S. Kotliarova | Susie Ahn | P. Meltzer | Mehmet Baysan
[1] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[2] R. Peng. Reproducible Research in Computational Science , 2011, Science.
[3] Tieliu Shi,et al. A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data , 2010, The Pharmacogenomics Journal.
[4] Thomas D. Wu,et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. , 2006, Cancer cell.
[5] K. Gunderson,et al. High density DNA methylation array with single CpG site resolution. , 2011, Genomics.
[6] M. Esteller,et al. Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome , 2011, Epigenetics.
[7] S. Gabriel,et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. , 2010, Cancer cell.
[8] Subha Madhavan,et al. Rembrandt: Helping Personalized Medicine Become a Reality through Integrative Translational Research , 2009, Molecular Cancer Research.
[9] John P A Ioannidis,et al. Improving Validation Practices in “Omics” Research , 2011, Science.
[10] R. Wilson,et al. Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. , 2010, Cancer cell.
[11] Yuri Kotliarov,et al. Unsupervised analysis of transcriptomic profiles reveals six glioma subtypes. , 2009, Cancer research.
[12] John Quackenbush,et al. Why Is There a Lack of Consensus on Molecular Subgroups of Glioblastoma? Understanding the Nature of Biological and Statistical Variability in Glioblastoma Expression Data , 2011, PloS one.
[13] C. Brennan,et al. Molecular subclassification of diffuse gliomas: Seeing order in the chaos , 2011, Glia.
[14] M. Wolter,et al. Unraveling the Glioma Epigenome—From Molecular Mechanisms to Novel Biomarkers and Therapeutic Targets , 2011, Brain pathology.
[15] J. Uhm. IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype , 2012 .
[16] K. Kangawa,et al. High plasma concentrations of human atrial natriuretic polypeptide in aged men. , 1987, The Journal of clinical endocrinology and metabolism.
[17] C. Sotiriou,et al. Evaluation of the Infinium Methylation 450K technology. , 2011, Epigenomics.
[18] P. Meltzer,et al. DNA methylation profiling identifies global methylation differences and markers of adrenocortical tumors. , 2012, The Journal of clinical endocrinology and metabolism.