Deconvolution methods reveal individual cell types in complex tissues profiled by bulk methods. Here the authors present a Bayesian deconvolution method that outperforms existing methods when benchmarked on >700 datasets, especially in estimating cell-type-specific gene expression profiles
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
Multiple approaches have been developed to infer abundance of different cell types in heterogeneous ...
The healthy function of complex tissues is dependent on a complex combination of cell types properly...
Expression levels of biological samples are affected by the intrinsic heterogeneity of cells and tis...
Computational deconvolution is a time and cost-efficient approach to obtain cell type-specific infor...
Gene expression analyses of bulk tissues often ignore cell type composition as an important confound...
BACKGROUND: For heterogeneous tissues, such as blood, measurements of gene expression are confounded...
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded...
<div><p>High-throughput gene expression data are often obtained from pure or complex (heterogeneous)...
Bulk tissue samples examined by gene expression studies are usually heterogeneous. The data gained f...
<div><p>Bulk tissue samples examined by gene expression studies are usually heterogeneous. The data ...
Cell type deconvolution is a computational approach to infer proportions of individual cell types fr...
Motivation: Tissue-level omics data such as transcriptomics and epigenomics are an average across di...
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples...
Many computational methods to infer proportions of individual cell types from bulk transcriptomics d...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
Multiple approaches have been developed to infer abundance of different cell types in heterogeneous ...
The healthy function of complex tissues is dependent on a complex combination of cell types properly...
Expression levels of biological samples are affected by the intrinsic heterogeneity of cells and tis...
Computational deconvolution is a time and cost-efficient approach to obtain cell type-specific infor...
Gene expression analyses of bulk tissues often ignore cell type composition as an important confound...
BACKGROUND: For heterogeneous tissues, such as blood, measurements of gene expression are confounded...
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded...
<div><p>High-throughput gene expression data are often obtained from pure or complex (heterogeneous)...
Bulk tissue samples examined by gene expression studies are usually heterogeneous. The data gained f...
<div><p>Bulk tissue samples examined by gene expression studies are usually heterogeneous. The data ...
Cell type deconvolution is a computational approach to infer proportions of individual cell types fr...
Motivation: Tissue-level omics data such as transcriptomics and epigenomics are an average across di...
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples...
Many computational methods to infer proportions of individual cell types from bulk transcriptomics d...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
Multiple approaches have been developed to infer abundance of different cell types in heterogeneous ...
The healthy function of complex tissues is dependent on a complex combination of cell types properly...