نتایج جستجو برای: polymorphic information contents

تعداد نتایج: 1247834  

Journal: :American Journal of Economics and Business Administration 2017

Journal: :iranian journal of basic medical sciences 0
tahereh moradi division of genetics, department of biology, faculty of science, university of isfahan, isfahan, iran reihaneh vallian molecular genetics department, isfahan medical genetics center, isfahan, iran zahra fazeli department of genetics, faculty of medicine, shahid beheshti university of medical sciences, tehran, iran asieh haghighatnia molecular genetics department, isfahan medical genetics center, isfahan, iran sadeq vallian division of genetics, department of biology, faculty of science, university of isfahan, isfahan, iran molecular genetics department, isfahan medical genetics center, isfahan, iran

objective(s): iran is considered as one of the high-prevalence areas for β-thalassemia with a rate of about 10% carrier frequency. molecular diagnosis of the disease is performed both by direct sequencing and indirectly by the use of polymorphic markers present in the beta globin gene cluster. however, to date there is no reliable information on the application of the markers in the iranian pop...

Journal: :The Electronic Library 2014
Nikolaos Konstantinou Dimitrios-Emmanuel Spanos Nikos Houssos Nikolas Mitrou

This paper introduces a transformation engine which can be used in order to convert an existing institutional repository installation into a Linked Open Data repository. We describe how the data that exists in a DSpace repository can be semantically annotated in order to serve as a Semantic Web (meta)data repository. We present a non-intrusive, standardscompliant approach that can run alongside...

2007
Koichi Shinoda Ryoichi Ando Sadaoki Furui Takahiro Mochizuki

We propose a robust scene recognition framework using scene context information for multimedia contents. In multimedia contents, some scene sequences are more likely to happen compared with other scene sequences. We employ a statistical approach to deal with this scene context information. We employ a hidden Markov model (HMM) to model each scene and an n-gram language model to represent the sc...

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