tranSMART-XNAT Connector tranSMART-XNAT connector—image selection based on clinical phenotypes and genetic profiles | Zendy

Sijin He | Zendy; May Yong | Zendy; Paul M. Matthews | Zendy; Yike Guo | Zendy

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tranSMART-XNAT Connector tranSMART-XNAT connector—image selection based on clinical phenotypes and genetic profiles

Author(s) -

Sijin He,

May Yong,

Paul M. Matthews,

Yike Guo

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw714

Subject(s) - metadata , computer science , context (archaeology) , dicom , raw data , data sharing , java , data mining , cable gland , download , scanner , artificial intelligence , biology , world wide web , programming language , medicine , paleontology , alternative medicine , pathology , telecommunications

TranSMART has a wide range of functionalities for translational research and a large user community, but it does not support imaging data. In this context, imaging data typically includes 2D or 3D sets of magnitude data and metadata information. Imaging data may summarise complex feature descriptions in a less biased fashion than user defined plain texts and numeric numbers. Imaging data also is contextualised by other data sets and may be analysed jointly with other data that can explain features or their variation.

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