Abstract
Although difficult, identification of disease-causing genes and biomarkers for diseases is important. This chapter focuses on two neurodegenerative diseases, amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD), and attempts to identify their biologically reasonable biomarker mRNAs and microRNAs by applying principal component analysis (PCA)-based unsupervised feature extraction (FE). A few hundred mRNAs and microRNAs are identified for muscle mRNAs, serum microRNAs, and brain mRNAs. The PD-specific microRNAs are also inferred based upon the brain mRNAs identified. Based upon the performances on these three cases, we conclude that PCAUFE is an effective method to identify biomarkers and disease-causing genes for neurodegenerative diseases.
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