A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data

A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data

Abstract Background High-dimensional data of discrete and skewed nature is commonly encountered in high-throughput sequencing studies. Analyzing the network itself or the interplay between genes in this type of data continues to present many challenges. As data visualization techniques become cumber...

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Bibliographic Details
Main Authors: Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Subjects:
Clustering
RNA sequencing
Discrete data
Multivariate Poisson-log normal distribution
Markov chain Monte Carlo
Co-expression networks
Online Access:http://link.springer.com/article/10.1186/s12859-019-2916-0

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http://link.springer.com/article/10.1186/s12859-019-2916-0

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