277 related articles for article (PubMed ID: 30961526)
1. Ranking genomic features using an information-theoretic measure of epigenetic discordance.
Jenkinson G; Abante J; Koldobskiy MA; Feinberg AP; Goutsias J
BMC Bioinformatics; 2019 Apr; 20(1):175. PubMed ID: 30961526
[TBL] [Abstract][Full Text] [Related]
2. An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data.
Jenkinson G; Abante J; Feinberg AP; Goutsias J
BMC Bioinformatics; 2018 Mar; 19(1):87. PubMed ID: 29514626
[TBL] [Abstract][Full Text] [Related]
3. Potential energy landscapes identify the information-theoretic nature of the epigenome.
Jenkinson G; Pujadas E; Goutsias J; Feinberg AP
Nat Genet; 2017 May; 49(5):719-729. PubMed ID: 28346445
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in
Zhang Y; Harris CJ; Liu Q; Liu W; Ausin I; Long Y; Xiao L; Feng L; Chen X; Xie Y; Chen X; Zhan L; Feng S; Li JJ; Wang H; Zhai J; Jacobsen SE
Proc Natl Acad Sci U S A; 2018 Jan; 115(5):E1069-E1074. PubMed ID: 29339507
[TBL] [Abstract][Full Text] [Related]
6. Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data.
Mallik S; Bhadra T; Maulik U
IEEE Trans Nanobioscience; 2017 Jan; 16(1):3-10. PubMed ID: 28092570
[TBL] [Abstract][Full Text] [Related]
7. Differentially Methylated Genomic Regions in Birth-Weight Discordant Twin Pairs.
Chen M; Baumbach J; Vandin F; Röttger R; Barbosa E; Dong M; Frost M; Christiansen L; Tan Q
Ann Hum Genet; 2016 Mar; 80(2):81-7. PubMed ID: 26831219
[TBL] [Abstract][Full Text] [Related]
8. Redundancy analysis allows improved detection of methylation changes in large genomic regions.
Ruiz-Arenas C; González JR
BMC Bioinformatics; 2017 Dec; 18(1):553. PubMed ID: 29237399
[TBL] [Abstract][Full Text] [Related]
9. Chromatin modifications and genomic contexts linked to dynamic DNA methylation patterns across human cell types.
Yan H; Zhang D; Liu H; Wei Y; Lv J; Wang F; Zhang C; Wu Q; Su J; Zhang Y
Sci Rep; 2015 Feb; 5():8410. PubMed ID: 25673498
[TBL] [Abstract][Full Text] [Related]
10. Tumor purity and differential methylation in cancer epigenomics.
Wang F; Zhang N; Wang J; Wu H; Zheng X
Brief Funct Genomics; 2016 Nov; 15(6):408-419. PubMed ID: 27199459
[TBL] [Abstract][Full Text] [Related]
11. A novel method for detecting association between DNA methylation and diseases using spatial information.
Yip WK; Fier H; DeMeo DL; Aryee M; Laird N; Lange C
Genet Epidemiol; 2014 Dec; 38(8):714-21. PubMed ID: 25250875
[TBL] [Abstract][Full Text] [Related]
12. Introduction to epigenomics and epigenome-wide analysis.
Fazzari MJ; Greally JM
Methods Mol Biol; 2010; 620():243-65. PubMed ID: 20652507
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing.
Toh H; Shirane K; Miura F; Kubo N; Ichiyanagi K; Hayashi K; Saitou M; Suyama M; Ito T; Sasaki H
BMC Genomics; 2017 Jan; 18(1):31. PubMed ID: 28056787
[TBL] [Abstract][Full Text] [Related]
15. Comparison of genome-wide analysis techniques to DNA methylation analysis in human cancer.
Soozangar N; Sadeghi MR; Jeddi F; Somi MH; Shirmohamadi M; Samadi N
J Cell Physiol; 2018 May; 233(5):3968-3981. PubMed ID: 28888056
[TBL] [Abstract][Full Text] [Related]
16. Exploring breast carcinogenesis through integrative genomics and epigenomics analyses.
Minning C; Mokhtar NM; Abdullah N; Muhammad R; Emran NA; Ali SA; Harun R; Jamal R
Int J Oncol; 2014 Nov; 45(5):1959-68. PubMed ID: 25175708
[TBL] [Abstract][Full Text] [Related]
17. Genome-wide DNA methylation analysis in alcohol dependence.
Zhang R; Miao Q; Wang C; Zhao R; Li W; Haile CN; Hao W; Zhang XY
Addict Biol; 2013 Mar; 18(2):392-403. PubMed ID: 23387924
[TBL] [Abstract][Full Text] [Related]
18. On the potential of models for location and scale for genome-wide DNA methylation data.
Wahl S; Fenske N; Zeilinger S; Suhre K; Gieger C; Waldenberger M; Grallert H; Schmid M
BMC Bioinformatics; 2014 Jul; 15():232. PubMed ID: 24994026
[TBL] [Abstract][Full Text] [Related]
19. Global analysis of methylation profiles from high resolution CpG data.
Zhao N; Bell DA; Maity A; Staicu AM; Joubert BR; London SJ; Wu MC
Genet Epidemiol; 2015 Feb; 39(2):53-64. PubMed ID: 25537884
[TBL] [Abstract][Full Text] [Related]
20. MeinteR: A framework to prioritize DNA methylation aberrations based on conformational and cis-regulatory element enrichment.
Malousi A; Kouidou S; Tsagiopoulou M; Papakonstantinou N; Bouras E; Georgiou E; Tzimagiorgis G; Stamatopoulos K
Sci Rep; 2019 Dec; 9(1):19148. PubMed ID: 31844073
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]