DETECTING DIFFERENTIALLY METHYLATED REGIONS IN INDIVIDUAL METHYLOMES

被引:0
|
作者
Hansen, Christine [1 ]
Janecka, Magdalena [1 ]
机构
[1] Icahn Sch Med Mt Sinai, New York, NY 10029 USA
关键词
D O I
10.1016/j.euroneuro.2021.07.108
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
16
引用
收藏
页码:E48 / E49
页数:2
相关论文
共 50 条
  • [1] A test for detecting differentially methylated regions
    Huh, Iksoo
    Yi, Soojin V.
    Park, Taesung
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2015, : 305 - 308
  • [2] mCSEA: detecting subtle differentially methylated regions
    Martorell-Marugan, Jordi
    Gonzalez-Rumayor, Victor
    Carmona-Saez, Pedro
    BIOINFORMATICS, 2019, 35 (18) : 3257 - 3262
  • [3] Detecting differentially methylated regions with multiple distinct associations
    Lent, Samantha
    Cardenas, Andres
    Rifas-Shiman, Sheryl L.
    Perron, Patrice
    Bouchard, Luigi
    Liu, Ching-Ti
    Hivert, Marie-France
    Dupuis, Josee
    EPIGENOMICS, 2021, 13 (06) : 451 - 464
  • [4] Statistical methods for detecting differentially methylated loci and regions
    Robinson, Mark D.
    Kahraman, Abdullah
    Law, Charity W.
    Lindsay, Helen
    Nowicka, Malgorzata
    Weber, Lukas M.
    Zhou, Xiaobei
    FRONTIERS IN GENETICS, 2014, 5
  • [5] Accounting for differential variability in detecting differentially methylated regions
    Wang, Ya
    Teschendorff, Andrew E.
    Widschwendter, Martin
    Wang, Shuang
    BRIEFINGS IN BIOINFORMATICS, 2019, 20 (01) : 47 - 57
  • [6] Comparison of novel and existing methods for detecting differentially methylated regions
    Samantha Lent
    Hanfei Xu
    Lan Wang
    Zhe Wang
    Chloé Sarnowski
    Marie-France Hivert
    Josée Dupuis
    BMC Genetics, 19
  • [7] MethylAction: detecting differentially methylated regions that distinguish biological subtypes
    Bhasin, Jeffrey M.
    Hu, Bo
    Ting, Angela H.
    NUCLEIC ACIDS RESEARCH, 2016, 44 (01) : 106 - 116
  • [8] Comparison of novel and existing methods for detecting differentially methylated regions
    Lent, Samantha
    Xu, Hanfei
    Wang, Lan
    Wang, Zhe
    Sarnowski, Chloe
    Hivert, Marie-France
    Dupuis, Josee
    BMC GENETICS, 2018, 19
  • [9] A Bayesian hidden Markov model for detecting differentially methylated regions
    Ji, Tieming
    BIOMETRICS, 2019, 75 (02) : 663 - 673
  • [10] DNA METHYLATION ASSOCIATED TO PSYCHOPATHOLOGY IN CHILDREN AND ADOLESCENTS: DETECTING DIFFERENTIALLY METHYLATED REGIONS
    Spindola, Leticia
    Santoro, Marcos
    Pan, Pedro
    Talarico, Fernanda
    Carvalho, Carolina Muniz
    Salum Junior, Giovanni
    Rohde, Luis Augusto
    Miguel, Euripedes Constantino
    March, Michael
    Sleiman, Patrick
    Pellegrino, Renata
    Bressan, Rodrigo
    Ota, Vanessa
    Hakonarson, Hakon
    Belangero, Sintia
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : 1299 - 1299