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DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning

published in: Genes

date of publication: 2019-10-04

main subject: deep learning

Cites articles 22

Date

Title

Authors

2019-10-14

D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference
2018-02-19

A suite of DNA methylation markers that can detect most common human cancers

Lukas Vrba, Bernard W Futscher
2017-09-01

Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns.
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Qi Zhao, Heng Zhang, Jian-Kang Zhu
2014-02-14

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DNA methylation biomarkers: cancer and beyond

Thomas Mikeska, Jeffrey Craig
2014-11-14

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2014-08-30

Pan-cancer patterns of DNA methylation

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APC gene hypermethylation and prostate cancer: a systematic review and meta-analysis
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2010-07-13

Identification of high-quality cancer prognostic markers and metastasis network modules

Maureen D O'Connor-McCourt
2009-12-14

MGMT promoter methylation is predictive of response to radiotherapy and prognostic in the absence of adjuvant alkylating chemotherapy for glioblastoma
2008-02-29

Epigenetic interplay between histone modifications and DNA methylation in gene silencing
2008-06

DNA methylation landscapes: provocative insights from epigenomics

Adrian Peter Bird
2007-05-24

Perceptions of epigenetics

Adrian Peter Bird
2007-09-03

GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest

Ramón Díaz-Uriarte
2005-12-01

DNA methylation and gene silencing in cancer
2003-11-20

Gene silencing in cancer in association with promoter hypermethylation
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Predominant hematopoietic origin of cell-free DNA in plasma and serum after sex-mismatched bone marrow transplantation
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Adrian Peter Bird
1975-10-20

Comparison of the predicted and observed secondary structure of T4 phage lysozyme

Article - wd:Q90567500

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