Related references
Note: Only part of the references are listed.Inference of immune cell composition on the expression profiles of mouse tissue
Ziyi Chen et al.
SCIENTIFIC REPORTS (2017)
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade
Pornpimol Charoentong et al.
CELL REPORTS (2017)
Profiling RNA-Seq at multiple resolutions markedly increases the number of causal eQTLs in autoimmune disease
Christopher A. Odhams et al.
PLOS GENETICS (2017)
Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data
Julien Racle et al.
ELIFE (2017)
Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab
Nadeem Riaz et al.
CELL (2017)
Integrated Omics Analysis of Pathogenic Host Responses during Pandemic H1N1 Influenza Virus Infection: The Crucial Role of Lipid Metabolism
Jennifer Tisoncik-Go et al.
CELL HOST & MICROBE (2016)
Transcriptional Landscape of Human Tissue Lymphocytes Unveils Uniqueness of Tumor-Infiltrating T Regulatory Cells
Marco De Simone et al.
IMMUNITY (2016)
Resistance Mechanisms to Immune-Checkpoint Blockade in Cancer: Tumor-Intrinsic and -Extrinsic Factors
Jonathan M. Pitt et al.
IMMUNITY (2016)
Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits
Raul Aguirre-Gamboa et al.
CELL REPORTS (2016)
A pathway-centric view of spatial proximity in the 3D nucleome across cell lines
Hiren Karathia et al.
SCIENTIFIC REPORTS (2016)
Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures
Yasin Senbabaoglu et al.
GENOME BIOLOGY (2016)
Comprehensive analyses of tumor immunity: implications for cancer immunotherapy
Bo Li et al.
GENOME BIOLOGY (2016)
Robust enumeration of cell subsets from tissue expression profiles
Aaron M. Newman et al.
NATURE METHODS (2015)
MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples
David A. Liebner et al.
BIOINFORMATICS (2014)
Digital cell quantification identifies global immune cell dynamics during influenza infection
Zeev Altboum et al.
MOLECULAR SYSTEMS BIOLOGY (2014)
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Charity W. Law et al.
GENOME BIOLOGY (2014)
DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data
Ting Gong et al.
BIOINFORMATICS (2013)
SRAdb: query and use public next-generation sequencing data from within R
Yuelin Zhu et al.
BMC BIOINFORMATICS (2013)
From a gene-centric to whole-proteome view of differentiation of T helper cell subsets
Tapio Lonnberg et al.
BRIEFINGS IN FUNCTIONAL GENOMICS (2013)
Genotype to phenotype via network analysis
Hannah Carter et al.
CURRENT OPINION IN GENETICS & DEVELOPMENT (2013)
Computational deconvolution: extracting cell type-specific information from heterogeneous samples
Shai S. Shen-Orr et al.
CURRENT OPINION IN IMMUNOLOGY (2013)
Tumor-Infiltrating FoxP3+Tregs and CD8+T Cells Affect the Prognosis of Hepatocellular Carcinoma Patients
Yong Huang et al.
DIGESTION (2012)
PERT: A Method for Expression Deconvolution of Human Blood Samples from Varied Microenvironmental and Developmental Conditions
Wenlian Qiao et al.
PLOS COMPUTATIONAL BIOLOGY (2012)
Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples
Ting Gong et al.
PLOS ONE (2011)
Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus
Alexander R. Abbas et al.
PLOS ONE (2009)
Share Paper
