完整後設資料紀錄
DC 欄位語言
dc.contributor.authorTaguchi, Y-h.en_US
dc.contributor.authorWang, Hsiuyingen_US
dc.date.accessioned2018-08-21T05:53:47Z-
dc.date.available2018-08-21T05:53:47Z-
dc.date.issued2018-05-01en_US
dc.identifier.issn1422-0067en_US
dc.identifier.urihttp://dx.doi.org/10.3390/ijms19051318en_US
dc.identifier.urihttp://hdl.handle.net/11536/145136-
dc.description.abstractAmyotrophic lateral sclerosis (ALS) is among the severe neuro degenerative diseases that lack widely available effective treatments. As the disease progresses, patients lose the control of voluntary muscles. Although the neuronal degeneration is the cause of this disease, the failure mechanism is still unknown. In order to seek genetic mechanisms that initiate and progress ALS, the association of microRNA (miRNA) expression with this disease was considered. Serum miRNAs from healthy controls, sporadic ALS (sALS), familial ALS (fALS) and ALS mutation carriers were investigated. Principal component analysis (PCA)-based unsupervised feature extraction (FE) was applied to these serum miRNA profiles. As a result, we predict miRNAs that can discriminate patients from healthy controls with high accuracy. Thus, these miRNAs can be potential prognosis miRNA biomarkers for ALS.en_US
dc.language.isoen_USen_US
dc.subjectamyotrophic lateral sclerosisen_US
dc.subjectbiomarkeren_US
dc.subjectmicroRNAen_US
dc.titleExploring microRNA Biomarker for Amyotrophic Lateral Sclerosisen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ijms19051318en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF MOLECULAR SCIENCESen_US
dc.citation.volume19en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000435297000054en_US
顯示於類別:期刊論文