1225 related articles for article (PubMed ID: 23175756)
1. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.
Teschendorff AE; Marabita F; Lechner M; Bartlett T; Tegner J; Gomez-Cabrero D; Beck S
Bioinformatics; 2013 Jan; 29(2):189-96. PubMed ID: 23175756
[TBL] [Abstract][Full Text] [Related]
2. MGMIN: A Normalization Method for Correcting Probe Design Bias in Illumina Infinium HumanMethylation450 BeadChips.
Wang Z; Liu Y; Wang Y
Front Genet; 2020; 11():538492. PubMed ID: 33193611
[TBL] [Abstract][Full Text] [Related]
3. RCP: a novel probe design bias correction method for Illumina Methylation BeadChip.
Niu L; Xu Z; Taylor JA
Bioinformatics; 2016 Sep; 32(17):2659-63. PubMed ID: 27153672
[TBL] [Abstract][Full Text] [Related]
4. An evaluation of analysis pipelines for DNA methylation profiling using the Illumina HumanMethylation450 BeadChip platform.
Marabita F; Almgren M; Lindholm ME; Ruhrmann S; Fagerström-Billai F; Jagodic M; Sundberg CJ; Ekström TJ; Teschendorff AE; Tegnér J; Gomez-Cabrero D
Epigenetics; 2013 Mar; 8(3):333-46. PubMed ID: 23422812
[TBL] [Abstract][Full Text] [Related]
5. An epigenome-wide association study of ambient pyrethroid pesticide exposures in California's central valley.
Furlong MA; Paul KC; Yan Q; Chuang YH; Cockburn MG; Bronstein JM; Horvath S; Ritz B
Int J Hyg Environ Health; 2020 Aug; 229():113569. PubMed ID: 32679516
[TBL] [Abstract][Full Text] [Related]
6. Complete pipeline for Infinium(®) Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation.
Touleimat N; Tost J
Epigenomics; 2012 Jun; 4(3):325-41. PubMed ID: 22690668
[TBL] [Abstract][Full Text] [Related]
7. A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip.
Wang Z; Wu X; Wang Y
BMC Bioinformatics; 2018 Apr; 19(Suppl 5):115. PubMed ID: 29671397
[TBL] [Abstract][Full Text] [Related]
8. A systematic evaluation of normalization methods and probe replicability using infinium EPIC methylation data.
Welsh H; Batalha CMPF; Li W; Mpye KL; Souza-Pinto NC; Naslavsky MS; Parra EJ
Clin Epigenetics; 2023 Mar; 15(1):41. PubMed ID: 36906598
[TBL] [Abstract][Full Text] [Related]
9. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data.
Wang T; Guan W; Lin J; Boutaoui N; Canino G; Luo J; Celedón JC; Chen W
Epigenetics; 2015; 10(7):662-9. PubMed ID: 26036609
[TBL] [Abstract][Full Text] [Related]
10. ChAMP: updated methylation analysis pipeline for Illumina BeadChips.
Tian Y; Morris TJ; Webster AP; Yang Z; Beck S; Feber A; Teschendorff AE
Bioinformatics; 2017 Dec; 33(24):3982-3984. PubMed ID: 28961746
[TBL] [Abstract][Full Text] [Related]
11. A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform.
Zhuang J; Widschwendter M; Teschendorff AE
BMC Bioinformatics; 2012 Apr; 13():59. PubMed ID: 22524302
[TBL] [Abstract][Full Text] [Related]
12. ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip.
Xu Z; Niu L; Li L; Taylor JA
Nucleic Acids Res; 2016 Feb; 44(3):e20. PubMed ID: 26384415
[TBL] [Abstract][Full Text] [Related]
13. Batch effect correction for genome-wide methylation data with Illumina Infinium platform.
Sun Z; Chai HS; Wu Y; White WM; Donkena KV; Klein CJ; Garovic VD; Therneau TM; Kocher JP
BMC Med Genomics; 2011 Dec; 4():84. PubMed ID: 22171553
[TBL] [Abstract][Full Text] [Related]
14. SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips.
Maksimovic J; Gordon L; Oshlack A
Genome Biol; 2012 Jun; 13(6):R44. PubMed ID: 22703947
[TBL] [Abstract][Full Text] [Related]
15. Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios.
Staaf J; Vallon-Christersson J; Lindgren D; Juliusson G; Rosenquist R; Höglund M; Borg A; Ringnér M
BMC Bioinformatics; 2008 Oct; 9():409. PubMed ID: 18831757
[TBL] [Abstract][Full Text] [Related]
16. GMQN: A Reference-Based Method for Correcting Batch Effects and Probe Bias in HumanMethylation BeadChip.
Xiong Z; Li M; Ma Y; Li R; Bao Y
Front Genet; 2021; 12():810985. PubMed ID: 35069703
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the Infinium Methylation 450K technology.
Dedeurwaerder S; Defrance M; Calonne E; Denis H; Sotiriou C; Fuks F
Epigenomics; 2011 Dec; 3(6):771-84. PubMed ID: 22126295
[TBL] [Abstract][Full Text] [Related]
18. RELIC: a novel dye-bias correction method for Illumina Methylation BeadChip.
Xu Z; Langie SA; De Boever P; Taylor JA; Niu L
BMC Genomics; 2017 Jan; 18(1):4. PubMed ID: 28049437
[TBL] [Abstract][Full Text] [Related]
19. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.
Fortin JP; Triche TJ; Hansen KD
Bioinformatics; 2017 Feb; 33(4):558-560. PubMed ID: 28035024
[TBL] [Abstract][Full Text] [Related]
20. Batch-effect detection, correction and characterisation in Illumina HumanMethylation450 and MethylationEPIC BeadChip array data.
Ross JP; van Dijk S; Phang M; Skilton MR; Molloy PL; Oytam Y
Clin Epigenetics; 2022 Apr; 14(1):58. PubMed ID: 35488315
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]