Shu-Qiang Wang

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PURPOSE To investigate the use of a newly designed machine learning-based classifier in the automatic identification of myelopathic levels in cervical spondylotic myelopathy (CSM). MATERIALS AND METHODS In all, 58 normal volunteers and 16 subjects with CSM were recruited for diffusion tensor imaging (DTI) acquisition. The eigenvalues were extracted as the(More)
A key challenge in the post genome era is to identify genome-wide transcriptional regulatory networks, which specify the interactions between transcription factors and their target genes. Numerous methods have been developed for reconstructing gene regulatory networks from expression data. However, most of them are based on coarse grained qualitative(More)
Diffusion tensor image (DTI) of the cervical spinal cord has been proposed to be used to identify the myelopathic level in the cervical spinal cord. Fractional anisotropy (FA) from DTI is usually used to diagnose the level of cervical spondylotic myelopathy (CSM). However, the solely use of FA value does not consider a full information of 3D multiple(More)
The main purpose of this paper is to analyze the variational iteration method for solving the two-point boundary value problems. We show that Wang [Shu-Qjang Wang, A variational approach to nonlinear two-point boundary value problems, Comput. Math. Appl. 58 (2009) 2452-2455] demonstrated some incorrect solutions for two-point boundary value problems studied(More)
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