| Presentation | 2020-01-09 Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis Y-h. Taguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb{R}^{N times M}$ and $x_{ik} in mathbb{R}^{N times K}$, respectively. Here we propose an alternative method that applies tensor decomposition (TD) to the three mode tensor defined as $x_{ijk} = x_{ij}cdot x_{ik} in mathbb{R}^{N times M times K}$ instead of CCA. Furthermore, when the generated tensor is too large, singular value decomposition is applied to the matirx defined as $x_{jk} =sum_i x_{ijk} in mathbb{R}^{M times K}$ in order to approximate TD. Finally, proposed method is applied to integrated analysis of single cell RNA-seq data set. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | tensor decomposition / feature selection / single cell RNA-seq |
| Paper # | IBISML2019-26 |
| Date of Issue | 2020-01-02 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2020/1/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | ISM |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning, etc. |
| Chair | Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST) |
| Assistant | Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis |
| Sub Title (in English) | |
| Keyword(1) | tensor decomposition |
| Keyword(2) | feature selection |
| Keyword(3) | single cell RNA-seq |
| 1st Author's Name | Y-h. Taguchi |
| 1st Author's Affiliation | Chuo University(Chuo Univ.) |
| Date | 2020-01-09 |
| Paper # | IBISML2019-26 |
| Volume (vol) | vol.119 |
| Number (no) | IBISML-360 |
| Page | pp.pp.55-59(IBISML), |
| #Pages | 5 |
| Date of Issue | 2020-01-02 (IBISML) |