-
1
-
-
84860637797
-
DNA methylation arrays as surrogate measures of cell mixture distribution
-
Houseman EA, Accomando WP, Koestler DC, Christensen BC, Marsit CJ, Nelson HH, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012;13:86.
-
(2012)
BMC Bioinformatics
, vol.13
, pp. 86
-
-
Houseman, E.A.1
Accomando, W.P.2
Koestler, D.C.3
Christensen, B.C.4
Marsit, C.J.5
Nelson, H.H.6
-
2
-
-
84964747508
-
An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies
-
McGregor K, Bernatsky S, Colmegna I, Hudson M, Pastinen T, Labbe A, et al. An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies. Genome Biol. 2016;17:84.
-
(2016)
Genome Biol
, vol.17
, pp. 84
-
-
McGregor, K.1
Bernatsky, S.2
Colmegna, I.3
Hudson, M.4
Pastinen, T.5
Labbe, A.6
-
3
-
-
34848914038
-
Capturing heterogeneity in gene expression studies by surrogate variable analysis
-
Leek JT, Storey JD. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 2007;3:1724-35.
-
(2007)
PLoS Genet
, vol.3
, pp. 1724-1735
-
-
Leek, J.T.1
Storey, J.D.2
-
4
-
-
52449083336
-
The Netherlands study of depression and anxiety (NESDA): rationales, objectives and methods
-
Penninx BW, Beekman AT, Smit JH, Zitman FG, Nolen WA, Spinhoven P, et al. The Netherlands study of depression and anxiety (NESDA): rationales, objectives and methods. Int J Methods Psychiatr Res. 2008;17:121-40.
-
(2008)
Int J Methods Psychiatr Res
, vol.17
, pp. 121-140
-
-
Penninx, B.W.1
Beekman, A.T.2
Smit, J.H.3
Zitman, F.G.4
Nolen, W.A.5
Spinhoven, P.6
-
5
-
-
84885020424
-
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
-
Ripke S, O'Dushlaine C, Chambert K, Moran JL, Kahler AK, Akterin S, et al. Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nat Genet. 2013;45:1150-9.
-
(2013)
Nat Genet
, vol.45
, pp. 1150-1159
-
-
Ripke, S.1
O'Dushlaine, C.2
Chambert, K.3
Moran, J.L.4
Kahler, A.K.5
Akterin, S.6
-
6
-
-
84896732939
-
Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults
-
Aberg KA, McClay JL, Nerella S, Clark S, Kumar G, Chen W, et al. Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults. JAMA Psychiat. 2014;71:255-64.
-
(2014)
JAMA Psychiat
, vol.71
, pp. 255-264
-
-
Aberg, K.A.1
McClay, J.L.2
Nerella, S.3
Clark, S.4
Kumar, G.5
Chen, W.6
-
7
-
-
84871404318
-
MBD-seq as a cost-effective approach for methylome-wide association studies: demonstration in 1500 case--control samples
-
Aberg KA, McClay JL, Nerella S, Xie LY, Clark SL, Hudson AD, et al. MBD-seq as a cost-effective approach for methylome-wide association studies: demonstration in 1500 case--control samples. Epigenomics. 2012;4:605-21.
-
(2012)
Epigenomics
, vol.4
, pp. 605-621
-
-
Aberg, K.A.1
McClay, J.L.2
Nerella, S.3
Xie, L.Y.4
Clark, S.L.5
Hudson, A.D.6
-
8
-
-
84941331214
-
Evaluation of methyl-binding domain based enrichment approaches revisited
-
Aberg KA, Xie L, Chan RF, Zhao M, Pandey AK, Kumar G, et al. Evaluation of methyl-binding domain based enrichment approaches revisited. PLoS One. 2015;10:e0132205.
-
(2015)
PLoS One
, vol.10
-
-
Aberg, K.A.1
Xie, L.2
Chan, R.F.3
Zhao, M.4
Pandey, A.K.5
Kumar, G.6
-
9
-
-
84874396967
-
MethylPCA: a toolkit to control for confounders in methylome-wide association studies
-
Chen W, Gao G, Nerella S, Hultman CM, Magnusson PK, Sullivan PF, et al. MethylPCA: a toolkit to control for confounders in methylome-wide association studies. BMC Bioinformatics. 2013;14:74.
-
(2013)
BMC Bioinformatics
, vol.14
, pp. 74
-
-
Chen, W.1
Gao, G.2
Nerella, S.3
Hultman, C.M.4
Magnusson, P.K.5
Sullivan, P.F.6
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