| Presentation | 2014-11-17 Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics Y-h. Taguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We apply principal component analysis (PCA) based unsupervised feature extraction (FE) to amyotrophic lateral sclerosis (ALS) gene expression profiles in this paper. ALS is a debilitating neurodegenerative disorder without any effective therapy. The relevant gene expression profiles contain a small number of samples (a few to tens) with a large number of features (several tens of thousands). Although it is important to recognize critical genes from gene expression profiles, a small-sample-large-feature situation makes FE difficult. In PCA based unsupervised FE, features, rather than samples, are embedded into low dimensional space, and critical genes are identified as outliers that are supposed to obey group oriented behavior. The genes we identified were verified to be biologically feasible as possibly relevant to ALS based on database annotation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | principal component analysis / feature extraction / bioinformatics |
| Paper # | IBISML2014-46 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2014/11/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics |
| Sub Title (in English) | |
| Keyword(1) | principal component analysis |
| Keyword(2) | feature extraction |
| Keyword(3) | bioinformatics |
| 1st Author's Name | Y-h. Taguchi |
| 1st Author's Affiliation | Department of Physics, Chuo University() |
| Date | 2014-11-17 |
| Paper # | IBISML2014-46 |
| Volume (vol) | vol.114 |
| Number (no) | 306 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |