"Predicting DNA methylation status using word composition"
written by Lingyi Lu, Kao Lin, Ziliang Qian, Haipeng Li, Yudong Cai, Yixue Li,
published by Journal of Biomedical Science and Engineering, Vol.3 No.7, 2010
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Interactions between core histone marks and DNA methyltransferases predict DNA methylation patterns observed in human cells and tissues
2019
[2] Accurate prediction of single-cell DNA methylation states using deep learning
2017
[3] DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
2017
[4] Genome wide classification and characterisation of CpG sites in cancer and normal cells
Computers in biology and medicine, 2016
[5] Predicting the impact of non-coding variants on DNA methylation
2016
[6] Discovering DNA motifs and genomic variants associated with DNA methylation
2016
[7] Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential
BMC systems biology, 2015
[8] Neuronal Nitric Oxide Synthase (NOS1) Polymorphisms Interact with Financial Hardship to Affect Depression Risk
2014
[9] Prediction of CpG island methylation status by integrating DNA physiochemical properties
Genomics, 2014
[10] Predicting Genome-wide DNA Methylation in Humans
ProQuest Dissertations Publishing, 2014
[11] A Review on the Techniques for Characterizing and Predicting Human Genomic DNA Methylation
Current Bioinformatics, 2013
[12] Computational analysis of CpG site DNA methylation
School of Information Systems, Computing and Mathematics, 2013
[13] Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements
arXiv preprint arXiv:1308.2134, 2013
[14] CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome
BMC medical genomics, 2013
[15] Comparative (computational) analysis of the DNA methylation status of trinucleotide repeat expansion diseases
Journal of nucleic acids, 2013
[16] Prediction and analysis of the methylation status of CpG islands in human genome
2012
[17] Analysing and predicting differences between methylated and unmethylated DNA sequence features
0000