Probabilistic analysis of gene expression measurements from heterogeneous tissues.
about
RNA Sequencing and AnalysisOptimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samplesParameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles.DeMix: deconvolution for mixed cancer transcriptomes using raw measured data.Inferring tumour purity and stromal and immune cell admixture from expression dataAn assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samplesB-Cell and Monocyte Contribution to Systemic Lupus Erythematosus Identified by Cell-Type-Specific Differential Expression Analysis in RNA-Seq Data.A self-directed method for cell-type identification and separation of gene expression microarrays.Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studiesMicroenvironmental regulation of therapeutic response in cancerCell subset prediction for blood genomic studiesA mixture model for expression deconvolution from RNA-seq in heterogeneous tissues.Deconvolution of gene expression from cell populations across the C. elegans lineage.MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples.ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis.Reference-free deconvolution of DNA methylation data and mediation by cell composition effects.Improving sensitivity of linear regression-based cell type-specific differential expression deconvolution with per-gene vs. global significance threshold.The influence of cancer tissue sampling on the identification of cancer characteristics.Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons.A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome.TrAp: a tree approach for fingerprinting subclonal tumor composition.Computational deconvolution: extracting cell type-specific information from heterogeneous samples.Goserelin and bicalutamide treatments alter the expression of microRNAs in the prostate.Chemical castration and anti-androgens induce differential gene expression in prostate cancer.Tumor purity and differential methylation in cancer epigenomics.Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction.A sequential Monte Carlo approach to gene expression deconvolution.Inferring Molecular Processes Heterogeneity from Transcriptional Data.A new method for constructing tumor specific gene co-expression networks based on samples with tumor purity heterogeneity.
P2860
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P2860
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@ast
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@en
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@nl
type
label
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@ast
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@en
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@nl
prefLabel
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@ast
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@en
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@nl
P2093
P2860
P356
P1433
P1476
Probabilistic analysis of gene expression measurements from heterogeneous tissues.
@en
P2093
Pekka Ruusuvuori
Saara Lehmusvaara
Tapio Visakorpi
Timo Erkkilä
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ406
P407
P577
2010-07-14T00:00:00Z