منابع مشابه
Demystified...tissue microarray technology.
Several "high throughput methods" have been introduced into research and routine laboratories during the past decade. Providing a new approach to the analysis of genomic alterations and RNA or protein expression patterns, these new techniques generate a plethora of new data in a relatively short time, and promise to deliver clues to the diagnosis and treatment of human cancer. Along with these ...
متن کاملThe Stanford Tissue Microarray Database
The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. The use of tissue microarrays allows hundreds of human tissue cores t...
متن کاملMicroarray Inspector: tissue cross contamination detection tool for microarray data.
Microarray technology changed the landscape of contemporary life sciences by providing vast amounts of expression data. Researchers are building up repositories of experiment results with various conditions and samples which serve the scientific community as a precious resource. Ensuring that the sample is of high quality is of utmost importance to this effort. The task is complicated by the fa...
متن کاملExperiences from tissue microarray in soft tissue sarcomas.
The tissue microarray (TMA) technology was introduced in 1998 as a tissue preserving, high-throughput technique that allows studies of multiple markers in large sample sets. TMA slides can be analyzed using techniques such as immunohistochemistry and in situ hybridization and represents a powerful tool for the investigation of potential diagnostic and prognostic markers identified in DNA microa...
متن کاملStatistical methods for analyzing tissue microarray data.
Tissue microarrays (TMAs) are a new high-throughput tool for the study of protein expression patterns in tissues and are increasingly used to evaluate the diagnostic and prognostic importance of biomarkers. TMA data are rather challenging to analyze. Covariates are highly skewed, non-normal, and may be highly correlated. We present statistical methods for relating TMA data to censored time-to-e...
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ژورنال
عنوان ژورنال: Journal of Investigative Dermatology
سال: 2014
ISSN: 0022-202X
DOI: 10.1038/jid.2014.277