201 related articles for article (PubMed ID: 28212312)
1. Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human.
Wu C; Yao S; Li X; Chen C; Hu X
Int J Mol Sci; 2017 Feb; 18(2):. PubMed ID: 28212312
[TBL] [Abstract][Full Text] [Related]
2. Prediction of methylation CpGs and their methylation degrees in human DNA sequences.
Zhou X; Li Z; Dai Z; Zou X
Comput Biol Med; 2012 Apr; 42(4):408-13. PubMed ID: 22209047
[TBL] [Abstract][Full Text] [Related]
3. CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome.
Zheng H; Wu H; Li J; Jiang SW
BMC Med Genomics; 2013; 6 Suppl 1(Suppl 1):S13. PubMed ID: 23369266
[TBL] [Abstract][Full Text] [Related]
4. Genome-wide DNA methylome variation in two genetically distinct chicken lines using MethylC-seq.
Li J; Li R; Wang Y; Hu X; Zhao Y; Li L; Feng C; Gu X; Liang F; Lamont SJ; Hu S; Zhou H; Li N
BMC Genomics; 2015 Oct; 16():851. PubMed ID: 26497311
[TBL] [Abstract][Full Text] [Related]
5. Prediction of CpG island methylation status by integrating DNA physicochemical properties.
Feng P; Chen W; Lin H
Genomics; 2014 Oct; 104(4):229-33. PubMed ID: 25172426
[TBL] [Abstract][Full Text] [Related]
6. PretiMeth: precise prediction models for DNA methylation based on single methylation mark.
Tang J; Zou J; Zhang X; Fan M; Tian Q; Fu S; Gao S; Fan S
BMC Genomics; 2020 May; 21(1):364. PubMed ID: 32414326
[TBL] [Abstract][Full Text] [Related]
7. Linking the epigenome to the genome: correlation of different features to DNA methylation of CpG islands.
Wrzodek C; Büchel F; Hinselmann G; Eichner J; Mittag F; Zell A
PLoS One; 2012; 7(4):e35327. PubMed ID: 22558141
[TBL] [Abstract][Full Text] [Related]
8. Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach.
Haque MM; Holder LB; Skinner MK
PLoS One; 2015; 10(11):e0142274. PubMed ID: 26571271
[TBL] [Abstract][Full Text] [Related]
9. CpG island methylation in human lymphocytes is highly correlated with DNA sequence, repeats, and predicted DNA structure.
Bock C; Paulsen M; Tierling S; Mikeska T; Lengauer T; Walter J
PLoS Genet; 2006 Mar; 2(3):e26. PubMed ID: 16520826
[TBL] [Abstract][Full Text] [Related]
10. Adult porcine genome-wide DNA methylation patterns support pigs as a biomedical model.
Schachtschneider KM; Madsen O; Park C; Rund LA; Groenen MA; Schook LB
BMC Genomics; 2015 Oct; 16():743. PubMed ID: 26438392
[TBL] [Abstract][Full Text] [Related]
11. Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements.
Zhang W; Spector TD; Deloukas P; Bell JT; Engelhardt BE
Genome Biol; 2015 Jan; 16(1):14. PubMed ID: 25616342
[TBL] [Abstract][Full Text] [Related]
12. MIRA-seq for DNA methylation analysis of CpG islands.
Jung M; Kadam S; Xiong W; Rauch TA; Jin SG; Pfeifer GP
Epigenomics; 2015 Aug; 7(5):695-706. PubMed ID: 25881900
[TBL] [Abstract][Full Text] [Related]
13. Multiomics analyses identified epigenetic modulation of the S100A gene family in Kawasaki disease and their significant involvement in neutrophil transendothelial migration.
Huang LH; Kuo HC; Pan CT; Lin YS; Huang YH; Li SC
Clin Epigenetics; 2018 Nov; 10(1):135. PubMed ID: 30382880
[TBL] [Abstract][Full Text] [Related]
14. Using epigenomics data to predict gene expression in lung cancer.
Li J; Ching T; Huang S; Garmire LX
BMC Bioinformatics; 2015; 16 Suppl 5(Suppl 5):S10. PubMed ID: 25861082
[TBL] [Abstract][Full Text] [Related]
15. FASTmC: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation.
Bewick AJ; Hofmeister BT; Lee K; Zhang X; Hall DW; Schmitz RJ
G3 (Bethesda); 2015 Dec; 6(2):447-52. PubMed ID: 26681520
[TBL] [Abstract][Full Text] [Related]
16. High density DNA methylation array with single CpG site resolution.
Bibikova M; Barnes B; Tsan C; Ho V; Klotzle B; Le JM; Delano D; Zhang L; Schroth GP; Gunderson KL; Fan JB; Shen R
Genomics; 2011 Oct; 98(4):288-95. PubMed ID: 21839163
[TBL] [Abstract][Full Text] [Related]
17. Predicting methylation status of human DNA sequences by pseudo-trinucleotide composition.
Zhou X; Li Z; Dai Z; Zou X
Talanta; 2011 Aug; 85(2):1143-7. PubMed ID: 21726750
[TBL] [Abstract][Full Text] [Related]
18. Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks.
Wang Y; Liu T; Xu D; Shi H; Zhang C; Mo YY; Wang Z
Sci Rep; 2016 Jan; 6():19598. PubMed ID: 26797014
[TBL] [Abstract][Full Text] [Related]
19. Epigenome-wide association study of DNA methylation in panic disorder.
Shimada-Sugimoto M; Otowa T; Miyagawa T; Umekage T; Kawamura Y; Bundo M; Iwamoto K; Tochigi M; Kasai K; Kaiya H; Tanii H; Okazaki Y; Tokunaga K; Sasaki T
Clin Epigenetics; 2017; 9():6. PubMed ID: 28149334
[TBL] [Abstract][Full Text] [Related]
20. A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties.
Pan G; Jiang L; Tang J; Guo F
Int J Mol Sci; 2018 Feb; 19(2):. PubMed ID: 29419752
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
