Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction
Tumor heterogeneity is a limiting factor in cancer treatment and in the discovery of biomarkers to personalize it. We describe a computational purification tool, ISOpure, which directly addresses the effects of variable contamination by normal tissue in clinical tumor specimens. ISOpure uses a set o...
Main Authors: | Quon, Gerald, Haider, Syed, Deshwar, Amit G, Cui, Ang, Boutros, Paul C, Morris, Quaid |
---|---|
Format: | Online |
Language: | English |
Published: |
BioMed Central
2013
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706990/ |
Similar Items
-
Computational purification of tumor gene expression data
by: Deshwar, Amit, et al.
Published: (2011) -
ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles
by: Anghel, Catalina V, et al.
Published: (2015) -
Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis
by: Cui, Ang, et al.
Published: (2016) -
Identifying Cancer Specific Functionally Relevant miRNAs from Gene Expression and miRNA-to-Gene Networks Using Regularized Regression
by: Mezlini, Aziz M., et al.
Published: (2013) -
Inferring clonal evolution of tumors from single nucleotide somatic mutations
by: Jiao, Wei, et al.
Published: (2014)