TCGA data reveal a highly heterogeneous disease
نویسندگان
چکیده
منابع مشابه
TCGA Expedition: A Data Acquisition and Management System for TCGA Data
BACKGROUND The Cancer Genome Atlas Project (TCGA) is a National Cancer Institute effort to profile at least 500 cases of 20 different tumor types using genomic platforms and to make these data, both raw and processed, available to all researchers. TCGA data are currently over 1.2 Petabyte in size and include whole genome sequence (WGS), whole exome sequence, methylation, RNA expression, proteom...
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[1] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.1.2.0" [2] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.2.2.0" [3] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.3.1.0" [4] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.4.1.0" [5] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.5.2.0" [6] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.6.0.0" [7] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.7.0.0" [8] "...
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Boolean implications (if-then rules) provide a conceptually simple, uniform and highly scalable way to find associations between pairs of random variables. In this paper, we propose to use Boolean implications to find relationships between variables of different data types (mutation, copy number alteration, DNA methylation and gene expression) from the glioblastoma (GBM) and ovarian serous cyst...
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BACKGROUND & OBJECTIVE Managing data from large-scale projects (such as The Cancer Genome Atlas (TCGA)) for further analysis is an important and time consuming step for research projects. Several efforts, such as the Firehose project, make TCGA pre-processed data publicly available via web services and data portals, but this information must be managed, downloaded and prepared for subsequent st...
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ژورنال
عنوان ژورنال: Nature Reviews Clinical Oncology
سال: 2017
ISSN: 1759-4774,1759-4782
DOI: 10.1038/nrclinonc.2017.146