PERT: a method for expression deconvolution of human blood samples from varied microenvironmental and developmental conditions.
The cellular composition of heterogeneous samples can be predicted using an expression deconvolution algorithm to decompose their gene expression profiles based on pre-defined, reference gene expression profiles of the constituent populations in these samples. However, the expression profiles of the...
Main Authors: | Wenlian Qiao, Gerald Quon, Elizabeth Csaszar, Mei Yu, Quaid Morris, Peter W Zandstra |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
|
Series: | PLoS Computational Biology |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23284283/pdf/?tool=EBI |
Similar Items
-
PERT: A Method for Expression Deconvolution of Human Blood Samples from Varied Microenvironmental and Developmental Conditions
by: Qiao, Wenlian, et al.
Published: (2013) -
Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis.
by: Ang Cui, et al.
Published: (2016-01-01) -
Effects of small <it>Hsp </it>genes on developmental stability and microenvironmental canalization
by: Takano-Shimizu Toshiyuki, et al.
Published: (2010-09-01) -
An investigation into spatially and temporally varying blind deconvolution
by: Kerry, Michael P.
Published: (1999) -
Computational purification of tumor gene expression data
by: Deshwar Amit, et al.
Published: (2011-11-01)