Results 11 to 20 of about 907,938 (379)
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
openaire +7 more sources
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
openaire +5 more sources
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
MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform [PDF]
, 2017 Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for ...
De Puysseleyr, Veronic +8 more
core +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
Critical Care Medicine, 2005 Microarrays are simple assays that measure the relative expression levels of tens of thousands of genes. Excitement about their importance and potential contributions to biology and medicine has been intense. Nonetheless, recent insights into the limitations and pitfalls of microarrays have led to caution about data interpretation. Microarrays are very
openaire +4 more sources
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
Microarrays for microbiologists [PDF]
Microbiology, 2001 We are witnessing a remarkable change in the scale of molecular microbiological research and we are entering an era of ‘big science’. In the past decade we have moved from a time when entire research papers were based on the sequencing of a single gene or operon to a single paper describing the sequence of a whole genome.
S, Lucchini, A, Thompson, J C D, Hinton
openaire +2 more sources
Frontiers in Bioinformatics, 2022 Gene expression can serve as a powerful predictor for disease progression and other phenotypes. Consequently, microarrays, which capture gene expression genome-wide, have been used widely over the past two decades to derive biomarker signatures for tasks
Ali Al-Fatlawi +4 more
doaj +1 more source