MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples

DeMix: deconvolution for mixed cancer transcriptomes using raw measured data

(2013) Jaeil Ahn et al.   BIOINFORMATICS

CellMix: a comprehensive toolbox for gene expression deconvolution

(2013) R. Gaujoux et al.   BIOINFORMATICS

DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data

(2013) Ting Gong et al.   BIOINFORMATICS

Digital sorting of complex tissues for cell type-specific gene expression profiles

(2013) Yi Zhong et al.   BMC BIOINFORMATICS

A Framework for Regularized Non-Negative Matrix Factorization, with Application to the Analysis of Gene Expression Data

(2012) Leo Taslaman et al.   PLoS One

Cell subset prediction for blood genomic studies

(2011) Christopher R Bolen et al.   BMC BIOINFORMATICS

Systematic Bias in Genomic Classification Due to Contaminating Non-neoplastic Tissue in Breast Tumor Samples

(2011) Fathi Elloumi et al.   BMC Medical Genomics

Semi-supervised Nonnegative Matrix Factorization for gene expression deconvolution: A case study

(2011) Renaud Gaujoux et al.   INFECTION GENETICS AND EVOLUTION

Gene expression deconvolution in linear space

(2011) Yi Zhong et al.   NATURE METHODS

Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples

(2011) Ting Gong et al.   PLoS One

Probabilistic analysis of gene expression measurements from heterogeneous tissues

(2010) Timo Erkkilä et al.   BIOINFORMATICS

Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach

(2010) Dirk Repsilber et al.   BMC BIOINFORMATICS

A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer

(2010) Jean-Philippe Meyniel et al.   BMC CANCER

Cell type–specific gene expression differences in complex tissues

(2010) Shai S Shen-Orr et al.   NATURE METHODS

A Six-Gene Signature Predicts Survival of Patients with Localized Pancreatic Ductal Adenocarcinoma

(2010) Jeran K. Stratford et al.   PLOS MEDICINE

A comparison on effects of normalisations in the detection of differentially expressed genes

(2009) Monica Chiogna et al.   BMC BIOINFORMATICS

Pten in stromal fibroblasts suppresses mammary epithelial tumours

(2009) Anthony J. Trimboli et al.   NATURE

Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus

(2009) Alexander R. Abbas et al.   PLoS One