Fitted density estimates under the K⋅R model on a simulated dataset.

Fitted density estimates under the K⋅R model on a simulated dataset.

<p>The estimated mixing proportions are displayed in the relevant panel.</p>

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Bibliographic Details
Main Author: Koyel Majumdar (20416871) (author)
Other Authors: Romina Silva (3486734) (author), Antoinette Sabrina Perry (20416874) (author), Ronald William Watson (20416877) (author), Andrea Rau (473672) (author), Florence Jaffrezic (2220268) (author), Thomas Brendan Murphy (577673) (author), Isobel Claire Gormley (11599588) (author)
Published: 2024
Subjects:
Genetics
Cancer
Science Policy
Plant Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
valued methylation data
thorough simulation studies
reducing biological interpretability
inference proceeds via
employing parameter constraints
dna methylation data
different study settings
gene ontology analysis
facilitates widespread use
prostate cancer study
prostate cancer development
div >< p
beta mixture models
use ="
differential analysis
understanding disease
tumour samples
r package
maximisation algorithm
guanine dinucleotide
given untransformed
differential analyses
computational feasibility
based clustering
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Description
Summary:<p>The estimated mixing proportions are displayed in the relevant panel.</p>

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