Statistical challenges of high-dimensional methylation data-Reference-Cited by-同舟云学术

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Statistical challenges of high-dimensional methylation data

Published:2014-07-04 Issue:30 Volume:33 Page:5347-5357
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Saadati Maral¹,Benner Axel¹

Affiliation:

1. Division of Biostatistics; German Cancer Research Center (DKFZ); Im Neuenheimer Feld 280 Heidelberg D-69120 Germany

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6251/fullpdf

Reference14 articles.

1. DNA methylation and cancer;Das;Journal of Clinical Oncology,2004

2. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis;Du;BMC Bioinformatics,2010

3. Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions;Houseman;BMC Bioinformatics,2008

4. A statistical framework for Illumina DNA methylation arrays;Kuan;Bioinformatics,2010

5. Beta regression for modelling rates and proportions;Ferrari;Journal of Applied Statistics,2004

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2. Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data;Epigenomics;2023-04

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4. Blood DNA methylation signatures of lifestyle exposures: tobacco and alcohol consumption;Clinical Epigenetics;2022-11-28

5. COMPARATIVE PERFORMANCE EVALUATION OF EFFICIENCY FOR HIGH DIMENSIONAL CLASSIFICATION METHODS;Journal of Information and Communication Technology;2022-07-17

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