Supporting information 2 for ‘A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer’ data by Majumdar et al.

<p>Supporting Information (Appendix S19) contains analysis of BMMs applied to the additional esophageal squamous cell carcinoma dataset.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-12-11
DOI
https://doi.org/10.1371/journal.pone.0314014.s002
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Supporting information 2 for ‘A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer’ data by Majumdar et al.

Figshare
Bayesian Methods and Mixture Models
article

Supporting information 2 for ‘A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer’ data by Majumdar et al.

article en

Abstract

<p>Supporting Information (Appendix S19) contains analysis of BMMs applied to the additional esophageal squamous cell carcinoma dataset.</p> <p>(PDF)</p>

Figshare
Good health and well-being
Openalex Percentile: Top 70%
Bayesian Methods and Mixture Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Supporting information 2 for ‘A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer’ data by Majumdar et al. · Figshare (2024) | TGRS Research Map | TGRS