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Zhu, Y., Shen, X. and Pan, W. (2009) Network-Based Support Vector Machine for Classification of Microarray Samples. BMC Bioinformatics, 10, S21. http://dx.doi.org/10.1186/1471-2105-10-S1-S21

has been cited by the following article:

• TITLE: A Microarray Analysis of Parkinson’s Disease: New Clues and Evaluation

  AUTHORS: Lirong Huo, Xibin Liang, Yi He, Xiaomin Wang

  KEYWORDS: Parkinson’s Disease, 6-OHDA, Microarray, Discrete Genes, Cortex, Striatum

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.3 No.9, September 17, 2015

  ABSTRACT: Parkinson’s disease (PD) is complex and most likely results from an unknown combination of genetic and environmental factors. Here, we defined discrete genes (DGs) in a microarray analysis and found that the percentage of DGs versus all analyzable genes correlated with PD progression. Furthermore, this new parameter was also easily used to evaluate the therapeutic effect of high- frequency electro-acupuncture (EA), thus improving symptoms of PD model rats.