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dc.contributor.authorTaguchi, Y-h.en_US
dc.contributor.authorWang, Hsiuyingen_US
dc.date.accessioned2019-04-03T06:41:07Z-
dc.date.available2019-04-03T06:41:07Z-
dc.date.issued2017-10-01en_US
dc.identifier.issn2073-4425en_US
dc.identifier.urihttp://dx.doi.org/10.3390/genes8100243en_US
dc.identifier.urihttp://hdl.handle.net/11536/144056-
dc.description.abstractAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. An ALS drug, Riluzole, has been shown to induce two different anticancer effects on hepatocellular carcinoma (HCC). In light of this finding, we explore the relationship between ALS and cancer, especially for HCC, from the molecular biological viewpoint. We establish biomarkers that can discriminate between ALS patients and healthy controls. A principal component analysis (PCA) based unsupervised feature extraction (FE) is used to find gene biomarkers of ALS based on microarray gene expression data. Based on this method, 101 probes were selected as biomarkers for ALS with 95% high accuracy to discriminate between ALS patients and controls. Most of the genes corresponding to these probes are shown to be related to various cancers. These findings might provide a new insight for developing new therapeutic options or drugs for both ALS and cancer.en_US
dc.language.isoen_USen_US
dc.subjectamyotrophic lateral sclerosisen_US
dc.subjectbiomarkeren_US
dc.subjectcanceren_US
dc.subjectgeneen_US
dc.subjectmicroarrayen_US
dc.titleGenetic Association between Amyotrophic Lateral Sclerosis and Canceren_US
dc.typeArticleen_US
dc.identifier.doi10.3390/genes8100243en_US
dc.identifier.journalGENESen_US
dc.citation.volume8en_US
dc.citation.issue10en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000414862300008en_US
dc.citation.woscount5en_US
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