Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data-Reference-Cited by-同舟云学术

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Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data

Published:2017-06-30 Issue:6 Volume:59 Page:1301-1316
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Ranciati Saverio¹^ORCID,Viroli Cinzia¹,Wit Ernst C.²

Affiliation:

1. Department of Statistical Sciences “Paolo Fortunati”, University of Bologna; via delle Belle Arti 41 40126 Bologna Italy

2. Johann Bernoulli Institute for Mathematics and Computer Science; University of Groningen; Nijenborgh 9 9747 AG Groningen The Netherlands

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference24 articles.

1. Banerjee , A. Krumpleman , S. Basu , S. Mooney , R. Ghosh , J. 2005 Model-based overlapping clustering Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining 532 537

2. Model-based Gaussian and non-Gaussian clustering;Banfield;Biometrics,1993

3. Joint modeling of ChIP-seq data via a Markov random field model;Bao;Biostatistics,2014

4. Probabilistic discovery of overlapping cellular processes and their regulation;Battle;Journal of Computational Biology,2005

5. Pattern Recognition with Fuzzy Objective Function Algorithms

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