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Face Recognition via Domain Adaptation and Manifold Distance Metric Learning Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Calculating Kolmogorov Complexity from the Transcriptome Data

Authors : Panpaki Seekaki, Norichika Ogata

Published in: Intelligent Computing Theories and Application

Publisher: Springer International Publishing

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Abstract

Information entropy is used to summarize transcriptome data, but ignoring zero count data contained them. Ignoring zero count data causes loss of information and sometimes it was difficult to distinguish between multiple transcriptomes. Here, we estimate Kolmogorov complexity of transcriptome treating zero count data and distinguish similar transcriptome data.

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Metadata
Title
Calculating Kolmogorov Complexity from the Transcriptome Data
Authors
Panpaki Seekaki
Norichika Ogata
Copyright Year
2017
Book
Intelligent Computing Theories and Application

Print ISBN: 978-3-319-63311-4

Electronic ISBN: 978-3-319-63312-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-63312-1_46

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