Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/156044
Title: | Kernel conditional Embeddings for associating omic data types |
Author: | Reverter Comes, Ferran Vegas Lozano, Esteban Oller i Sala, Josep Maria |
Keywords: | Bioinformàtica Genòmica Bioinformatics Genomics |
Issue Date: | 2018 |
Publisher: | Springer Verlag |
Abstract: | Computational methods are needed to combine diverse type of genome-wide data in a meaningful manner. Based on the kernel embedding of conditional probability distributions, a new measure for inferring the degree of association between two multivariate data sources is introduced. We analyze the performance of the proposed measure to integrate mRNA expression, DNA methylation and miRNA expression data. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1007/978-3-319-78723-7_43 |
It is part of: | Lecture Notes in Computer Science, 2018, vol. 10813 LNBI, p. 501-510 |
URI: | http://hdl.handle.net/2445/156044 |
Related resource: | https://doi.org/10.1007/978-3-319-78723-7_43 |
ISSN: | 0302-9743 |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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