Zhijing Wang

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PURPOSE Epilepsy is a common chronic neurological disorder. We aim to investigate the underlying mechanism of epilepsy with partial least squares- (PLS-) based gene expression analysis, which is more sensitive than routine variance/regression analysis. METHODS Two microarray data sets were downloaded from the Gene Expression Omnibus (GEO) database. PLS(More)
We conducted a core analysis program to provide supporting data to a series of crosswell field experiments being carried out in McElroy Field by Stanford University's Seismic Tomography Project. The objective of these experiments is to demonstrate the use of crosswell seismic profiling for reservoir characterization and for monitoring CO 2 flooding. For(More)
We aimed to identify novel copy number variations (CNV) that might contribute to the pathogenesis of epilepsy. Epilepsy is a common brain disorder characterized by recurring seizures and various serious comorbidities, including respiratory, cardiovascular, and neurologic dysfunction. CNV have recently been considered as important risk factors for epilepsy.(More)
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