-
1
-
-
67749112023
-
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus
-
Abbas A.R., et al. (2009). Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus. PLoS One, 4, e6098
-
(2009)
Plos One
, vol.4
, pp. e6098
-
-
Abbas, A.R.1
-
2
-
-
84875026085
-
Dynamic regulation of epigenomic landscapes during hematopoiesis
-
Abraham B.J., et al. (2013). Dynamic regulation of epigenomic landscapes during hematopoiesis. BMC Genomics, 14, 193
-
(2013)
BMC Genomics
, vol.14
, pp. 193
-
-
Abraham, B.J.1
-
3
-
-
84867185999
-
Heterogeneity in white blood cells has potential to confound DNA methylation measurements
-
Adalsteinsson B.T., et al. (2012). Heterogeneity in white blood cells has potential to confound DNA methylation measurements. PLoS One, 7, e46705
-
(2012)
Plos One
, vol.7
, pp. e46705
-
-
Adalsteinsson, B.T.1
-
4
-
-
0037251015
-
Validation of the coulter lh 750 in a hospital reference laboratory
-
Aulesa C., et al. (2003). Validation of the Coulter LH 750 in a hospital reference laboratory. Lab. Hematol., 9, 15-28
-
(2003)
Lab. Hematol
, vol.9
, pp. 15-28
-
-
Aulesa, C.1
-
5
-
-
79959478958
-
Cell subset prediction for blood genomic studies
-
Bolen C.R., et al. (2011). Cell subset prediction for blood genomic studies. BMC Bioinformatics, 12, 258
-
(2011)
BMC Bioinformatics
, vol.12
, pp. 258
-
-
Bolen, C.R.1
-
6
-
-
84882727548
-
Cellmix: A comprehensive toolbox for gene expression deconvolution
-
Gaujoux R. and Seoighe C. (2013). Cellmix: a comprehensive toolbox for gene expression deconvolution. Bioinformatics, 29, 2211-2212
-
(2013)
Bioinformatics
, vol.29
, pp. 2211-2212
-
-
Gaujoux, R.1
Seoighe, C.2
-
7
-
-
33646192473
-
Positive regulation of immune cell function and inflammatory responses by phosphatase pac-1
-
Jeffrey K.L., et al. (2006). Positive regulation of immune cell function and inflammatory responses by phosphatase pac-1. Nat. Immunol., 7, 274-283
-
(2006)
Nat. Immunol
, vol.7
, pp. 274-283
-
-
Jeffrey, K.L.1
-
8
-
-
80255135608
-
Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain
-
Kuhn A., et al. (2011). Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain. Nat. Methods, 8, 945-947
-
(2011)
Nat. Methods
, vol.8
, pp. 945-947
-
-
Kuhn, A.1
-
9
-
-
60549111634
-
WGCNA: An R package for weighted correlation network analysis
-
Langfelder P. and Horvath S. (2008). WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 9, 559
-
(2008)
BMC Bioinformatics
, vol.9
, pp. 559
-
-
Langfelder, P.1
Horvath, S.2
-
10
-
-
34848914038
-
Capturing heterogeneity in gene expression studies by surrogate variable analysis
-
Leek J.T. and Storey J.D. (2007). Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet., 3, 1724-1735
-
(2007)
Plos Genet
, vol.3
, pp. 1724-1735
-
-
Leek, J.T.1
Storey, J.D.2
-
11
-
-
84880399147
-
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge
-
Mostafavi S., et al. (2013). Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge. PLoS One, 8, e68141
-
(2013)
Plos One
, vol.8
, pp. e68141
-
-
Mostafavi, S.1
-
12
-
-
80051989398
-
Systems biology of vaccination for seasonal influenza in humans
-
Nakaya H.I., et al. (2011). Systems biology of vaccination for seasonal influenza in humans. Nat. Immunol., 12, 786-795
-
(2011)
Nat. Immunol
, vol.12
, pp. 786-795
-
-
Nakaya, H.I.1
-
13
-
-
78651486442
-
Densely interconnected transcriptional circuits control cell states in human hematopoiesis
-
Novershtern N., et al. (2011). Densely interconnected transcriptional circuits control cell states in human hematopoiesis. Cell, 144, 296-309
-
(2011)
Cell
, vol.144
, pp. 296-309
-
-
Novershtern, N.1
-
14
-
-
77249157887
-
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
-
Repsilber D., et al. (2010). Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach. BMC Bioinformatics, 11, 27
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 27
-
-
Repsilber, D.1
-
15
-
-
76949086352
-
Applying unmixing to gene expression data for tumor phylogeny inference
-
Schwartz R. and Shackney S.E. (2010). Applying unmixing to gene expression data for tumor phylogeny inference. BMC Bioinformatics, 11, 42
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 42
-
-
Schwartz, R.1
Shackney, S.E.2
-
16
-
-
84898018919
-
Computational deconvolution: Extracting cell type-specific information from heterogeneous samples
-
Shen-Orr S.S. and Gaujoux R. (2013). Computational deconvolution: extracting cell type-specific information from heterogeneous samples. Curr. Opin. Immunol., 25, 571-578
-
(2013)
Curr. Opin. Immunol
, vol.25
, pp. 571-578
-
-
Shen-Orr, S.S.1
Gaujoux, R.2
-
17
-
-
77951634577
-
Cell type-specific gene expression differences in complex tissues
-
Shen-Orr S.S., et al. (2010). Cell type-specific gene expression differences in complex tissues. Nat. Methods, 7, 287-289
-
(2010)
Nat. Methods
, vol.7
, pp. 287-289
-
-
Shen-Orr, S.S.1
-
18
-
-
84885673911
-
Inferring tumour purity and stromal and immune cell admixture from expression data
-
Yoshihara K., et al. (2013). Inferring tumour purity and stromal and immune cell admixture from expression data. Nat. Commun., 4, 2612
-
(2013)
Nat. Commun
, vol.4
, pp. 2612
-
-
Yoshihara, K.1
|