Integrative analysis of the cancer transcriptome

By Daniel R. Rhodes, Arul M. Chinnaiyan. Nature Genetics, 2005

497 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/818a146018746ab4db6f6cf62d2eccea9d62d86c

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In Molecular Biology

Citations in the corpus

Assessing the ceRNA hypothesis with quantitative measurements of miRNA and target abundance. (2014, background): “Nonetheless, during cell differentiation and in the context of malignant transformation, expression of coding and non-coding RNA can change dramatically (Rhodes and Chinnaiyan, 2005; Lujambio and Lowe, 2012).”
An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors (2008, background): “Detection of the activity of such complex networks must rely on expression analysis of many genes in multiple cancer samples, rather than on the presence or absence of individual factor”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “Interactome nodes may be marked according to their up- or downregulation in cancer, and may identify clusters of proteins involved in cancer progression, such as in metastasis-formation (Rhodes & Chinnaiyan, 2005; Jonsson et al., 2006; Hernandez et al., 2007).”
Genetic determinants of cancer metastasis (2007, methodology): “To extract biologically relevant information from molecular signatures, integrative in silico methods are being develope”
Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. (2007, methodology): “Additional analysis methods, including Molecular Concepts Analysis, Interactome Analysis, and Meta-Analysis, have been developed [7].”
Batch effect removal methods for microarray gene expression data integration: a survey (2013, background): “The integrative analysis of multiple microarray gene expression (MAGE) datasets has been acknowledged to be a crucial approach for extracting the maximum relevant biological information from genomic data-sets [1].”
Reversion of advanced Ebola virus disease in nonhuman primates with ZMapp™ (2014, background): “Nonetheless, during cell differentiation and in the context of malignant transformation, expression of coding and noncoding RNA can change dramatically (Rhodes and Chinnaiyan, 2005; Lujambio and Lowe, 2012).”
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis (2007, background): “]. Expression heterogeneity is particularly pronounced in human expression data, especially in the study of complex systems, such as cancer or responses to stress [”