Results 11 to 20 of about 902,749 (382)
Support vector machine classification and validation of cancer tissue samples using microarray expression data [PDF]
Bioinform., 2000 Terrence S. Furey +5 more
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Knowledge-based analysis of microarray gene expression data by using support vector machines [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2000 Michael P. Brown +7 more
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Developmental Science, 2006 Abstract Microarrays are revolutionizing genetics by making it possible to genotype hundreds of thousands of DNA markers and to assess the expression (RNA transcripts) of all of the genes in the genome. Microarrays are slides the size of a postage stamp that contain millions of DNA sequences to which single‐stranded DNA or RNA can hybridize.
Plomin, Robert, Schalkwyk, Leonard C
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BioTechniques, 2004 New high-throughput screening technologies have led to the identification of hundreds of genes with potential roles in cancer or other diseases. For evaluation of promising candidate genes, however, in-situ analysis of high numbers of clinical tissue samples is mandatory. The tissue microarray (TMA) technology greatly facilitates such analysis. In this
Ronald Simon +2 more
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The genesis of microarrays [PDF]
Biochemistry and Molecular Biology Education, 2013 AbstractThis review provides a perspective on the initial development of microarray technologies by two independent groups in the late 1980s. © 2013 by The International Union of Biochemistry and Molecular Biology, 42(2):106–113, 2014.
Pirrung, Michael C, Southern, Edwin M
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limma powers differential expression analyses for RNA-sequencing and microarray studies
Nucleic Acids Research, 2015 limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the ...
Matthew E. Ritchie +6 more
semanticscholar +1 more source
GSVA: gene set variation analysis for microarray and RNA-Seq data
BMC Bioinformatics, 2013 Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary.
Sonja Hänzelmann +2 more
semanticscholar +1 more source
Neoplasia: An International Journal for Oncology Research, 2002 Activation of the insulin-like growth factor-1 receptor (IGF-11R) by IGF-1 is associated with the risk and progression of many types of cancer, although despite this it remains unclear how activated IGF-1 R contributes to cancer progression.
J.S. Oh +9 more
doaj +1 more source
Comparability of Microarray Data between Amplified and Non Amplified RNA in Colorectal Carcinoma [PDF]
, 2009 Microarray analysis reaches increasing popularity during the investigation of prognostic gene clusters in oncology. The standardisation of technical procedures will be essential to compare various datasets produced by different research groups.
Brueckl, WM +10 more
core +4 more sources