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Modern cancer genomics datasets involve widely varying sizes and scales, measurement variables, and correlation structures. A fundamental analytical goal in these high-throughput studies is the development of general statistical techniques…

Methodology · Statistics 2022-04-12 Chiyu Gu , Veerabhadran Baladandayuthapani , Subharup Guha

Identifying differentially methylated cytosine-guanine dinucleotide (CpG) sites between benign and tumour samples can assist in understanding disease. However, differential analysis of bounded DNA methylation data often requires data…

DNA methylation (DNAme) is a critical component of the epigenetic regulatory machinery and aberrations in DNAme patterns occur in many diseases, such as cancer. Mapping and understanding DNAme profiles offers considerable promise for…

High-throughput genetic and epigenetic data are often screened for associations with an observed phenotype. For example, one may wish to test hundreds of thousands of genetic variants, or DNA methylation sites, for an association with…

Methodology · Statistics 2017-10-20 Eric F. Lock , David B. Dunson

Gene expression and DNA methylation are two interconnected biological processes and understanding their relationship is important in advancing understanding in diverse areas, including disease pathogenesis, environmental adaptation,…

Many researches demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer. There is a strong interest in analyzing the DNA methylation data to find how to distinguish…

Genomics · Quantitative Biology 2020-01-29 Hong Yu , Zhanyu Ma

In cancer research, the comparison of gene expression or DNA methylation networks inferred from healthy controls and patients can lead to the discovery of biological pathways associated to the disease. As a cancer progresses, its signalling…

Methodology · Statistics 2015-06-17 Da Ruan , Alastair Young , Giovanni Montana

Epigenetic alterations have an important role in the development of several types of cancer. Epigenetic studies generate a large amount of data, which makes it essential to develop novel models capable of dealing with large-scale data. In…

Machine Learning · Computer Science 2021-02-22 del Amor Rocío , Colomer Adrián , Monteagudo Carlos , Naranjo Valery

DNA methylation is an important epigenetic mark that has been studied extensively for its regulatory role in biological processes and diseases. WGBS allows for genome-wide measurements of DNA methylation up to single-base resolutions, yet…

DNA methylation is a well-studied genetic modification that regulates gene transcription of Eukaryotes. Its alternations have been recognized as a significant component of cancer development. In this study, we use the DNA methylation 450k…

Tissues and Organs · Quantitative Biology 2021-01-05 Shen Jia , Yulin Zhang , Yiming Mao , Jiawei Gao , Yixuan Chen , Yuxuan Jiang , Haochen Luo , Kebo Lv , Jionglong Su

DNA methylation is an epigenetic mechanism that regulates gene expression by adding methyl groups to DNA. Abnormal methylation patterns can disrupt gene expression and have been linked to cancer development. To quantify DNA methylation,…

Image and Video Processing · Electrical Eng. & Systems 2025-04-09 Manahil Raza , Muhammad Dawood , Talha Qaiser , Nasir M. Rajpoot

DNA Methylation has been the most extensively studied epigenetic mark. Usually a change in the genotype, DNA sequence, leads to a change in the phenotype, observable characteristics of the individual. But DNA methylation, which happens in…

Genomics · Quantitative Biology 2018-07-26 Soham Chatterjee , Archana Iyer , Satya Avva , Abhai Kollara , Malaikannan Sankarasubbu

Methylation of CpG dinucleotides is a prevalent epigenetic modification that is required for proper development in vertebrates, and changes in CpG methylation are essential to cellular differentiation. Genome-wide DNA methylation assays…

Genomics · Quantitative Biology 2014-08-28 John A. Capra , Dennis Kostka

DNA methylation is a well-studied genetic modification crucial to regulate the functioning of the genome. Its alterations play an important role in tumorigenesis and tumor-suppression. Thus, studying DNA methylation data may help biomarker…

Genomics · Quantitative Biology 2018-04-16 Fabrizio Celli , Fabio Cumbo , Emanuel Weitschek

Cancer development is associated with aberrant DNA methylation, including increased stochastic variability. Statistical tests for discovering cancer methylation biomarkers have focused on changes in mean methylation. To improve the power of…

Methodology · Statistics 2023-06-27 James Y. Dai , Heng Chen , Xiaoyu Wang , Wei Sun , Ying Huang , William M. Grady , Ziding Feng

A Deep Autoencoder based content retrieval algorithm is proposed for prediction and differentiation of cancer types based on the presence of epigenetic patterns of DNA methylation identified in genetic regions known as CpG islands. The…

Quantitative Methods · Quantitative Biology 2018-10-08 Mohammed Khwaja , Melpomeni Kalofonou , Chris Toumazou

A novel method to classify human cells is presented in this work based on the transform-domain method on DNA methylation data. DNA methylation profile variations are observed in human cells with the progression of disease stages, and the…

Genomics · Quantitative Biology 2020-01-01 Xueyuan Zhao , Dario Pompili

Epigenetics plays a crucial role in understanding the underlying molecular processes of several types of cancer as well as the determination of innovative therapeutic tools. To investigate the complex interplay between genetics and…

Methodology · Statistics 2024-08-29 Iris Ivy Gauran , Patrick Wincy Reyes , Erniel Barrios , Hernando Ombao

DNA methylation plays a pivotal role in the genetic evolution of both embryonic and adult cells. For adult somatic cells, location and dynamics of methylation has been very precisely pinned down with the 5-cytosine markers on…

Mesoscale and Nanoscale Physics · Physics 2014-06-04 Towfiq Ahmed , Jason T. Haraldsen , Jian-Xin Zhu , Alexander V. Balatsky

A key focus in current cancer research is the discovery of cancer biomarkers that allow earlier detection with high accuracy and lower costs for both patients and hospitals. Blood samples have long been used as a health status indicator,…

Genomics · Quantitative Biology 2018-12-24 Xi Chen , Jin Xie , Qingcong Yuan
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