The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The tissue microarray data exchange specification: A community-based, open source tool for sharing tissue microarray data

BACKGROUND Tissue Microarrays (TMAs) allow researchers to examine hundreds of small tissue samples on a single glass slide. The information held in a single TMA slide may easily involve Gigabytes of data. To benefit from TMA technology, the scientific community needs an open source TMA data exchange specification that will convey all of the data in a TMA experiment in a format that is understan...

متن کامل

Microarray 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 کامل

Tissue Microarray: An Emerging Potential Research Tool

Submit Manuscript | http://medcraveonline.com of tissue samples [1,2]. Rationalisation of biomarkers using the conventional histopathological procedure is time consuming, laborious and pricey especially, when several markers are to be tested on various specimens. So, TMA is expected to surmount these substantial problems [3]. Tissue microarrays are produced by harvesting cylindrical tissue core...

متن کامل

Statistical 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...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Pathology Informatics

سال: 2010

ISSN: 2153-3539

DOI: 10.4103/2153-3539.65347