Paper Abstract and Keywords |
Presentation |
2018-06-13 10:50
Post Clustering Inference, with Application to Single Cell Analysis Shigenori Inoue, Yuta Umezu (NIT), Shouma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) IBISML2018-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
There are many data with several subgroups, such as customer data and gene expression data and so on. One way to analyze such data is clustering. It aims to divide the data into several clusters based on the similarity of samples and obtain knowledge on the resulting clusters. Therefore, examining the features of each cluster from the result of clustering is a very important task for understanding the essential structure of data. Various clustering methods have been studied so far, but none of them have focused on statistical guarantee for the features after clustering. In this study, we develop the framework of selective inference for a hypothesis testing problem of the features in each cluster after $K$-means clustering. We confirm the usefulness of the proposed method through synthetic data and single cell data analysis. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hypothesis Testing / $K$-means Clustering / Post Selection Inference / Single Cell Data / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 81, IBISML2018-3, pp. 15-22, June 2018. |
Paper # |
IBISML2018-3 |
Date of Issue |
2018-06-06 (IBISML) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IBISML2018-3 |
Conference Information |
Committee |
NC IBISML IPSJ-BIO IPSJ-MPS |
Conference Date |
2018-06-13 - 2018-06-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Institute of Science and Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine Learning Approach to Biodata Mining, and General |
Paper Information |
Registration To |
IBISML |
Conference Code |
2018-06-NC-IBISML-BIO-MPS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Post Clustering Inference, with Application to Single Cell Analysis |
Sub Title (in English) |
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Keyword(1) |
Hypothesis Testing |
Keyword(2) |
$K$-means Clustering |
Keyword(3) |
Post Selection Inference |
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Single Cell Data |
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1st Author's Name |
Shigenori Inoue |
1st Author's Affiliation |
Nagoya Institute of Technology (NIT) |
2nd Author's Name |
Yuta Umezu |
2nd Author's Affiliation |
Nagoya Institute of Technology (NIT) |
3rd Author's Name |
Shouma Tsubota |
3rd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
4th Author's Name |
Ichiro Takeuchi |
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Nagoya Institute of Technology/RIKEN/National Institute for Materials Science (NIT/RIKEN/NIMS) |
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Speaker |
Author-1 |
Date Time |
2018-06-13 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
IBISML |
Paper # |
IBISML2018-3 |
Volume (vol) |
vol.118 |
Number (no) |
no.81 |
Page |
pp.15-22 |
#Pages |
8 |
Date of Issue |
2018-06-06 (IBISML) |
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