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: | Qiao, Wenlian, Quon, Gerald, Csaszar, Elizabeth, Yu, Mei, Morris, Quaid D., Zandstra, Peter W. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Public Library of Science
2013
|
Online Access: | http://hdl.handle.net/1721.1/77207 https://orcid.org/0000-0002-1716-0153 |
Similar Items
-
Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis.
by: Ang Cui, et al.
Published: (2016-01-01) -
Pert chart/
by: 249152 Ang, Duen Ming
Published: (1990) -
Application of pert
by: Yiğit Aksoy, et al.
Published: (2016-06-01) -
Computational purification of tumor gene expression data
by: Deshwar Amit, et al.
Published: (2011-11-01) -
How good is PERT? /
by: 305328 Geddes, Philip