PERT: A Method for Expression Deconvolution of Human Blood Samples from Varied Microenvironmental and Developmental Conditions

Biological assessment of robust noise models in microarray data analysis

(2011) A. Posekany et al.   BIOINFORMATICS

Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis

(2011) Noa Novershtern et al.   CELL

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

(2011) Ting Gong et al.   PLoS One

Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

(2011) David Venet et al.   PLoS Computational Biology

Supervised normalization of microarrays

(2010) Brigham H. Mecham et al.   BIOINFORMATICS

Dynamic interaction networks in a hierarchically organized tissue

(2010) Daniel C Kirouac et al.   Molecular Systems Biology

ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing

(2009) G. Quon et al.   BIOINFORMATICS

A note on oligonucleotide expression values not being normally distributed

(2009) J. Hardin et al.   BIOSTATISTICS

Cell–cell interaction networks regulate blood stem and progenitor cell fate

(2009) Daniel C Kirouac et al.   Molecular Systems Biology

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

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