Fitted density estimates under the K⋅⋅ model on a simulated dataset from sample type A.

Fitted density estimates under the K⋅⋅ model on a simulated dataset from sample type A.

<p>The thresholds between methylation states are illustrated by black dotted lines. The estimated mixing proportions are also displayed.</p>

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items