Separation of samples into their constituents using gene expression data.
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Macrodissection versus microdissection of rectal carcinoma: minor influence of stroma cells to tumor cell gene expression profiles.In silico microdissection of microarray data from heterogeneous cell populationsRNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor CediranibDeMix: 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.Complex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung TranscriptomeA self-directed method for cell-type identification and separation of gene expression microarrays.Robust computational reconstitution - a new method for the comparative analysis of gene expression in tissues and isolated cell fractions.Sample matching by inferred agonal stress in gene expression analyses of the brain.Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach.Statistical expression deconvolution from mixed tissue samples.Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.Probabilistic analysis of gene expression measurements from heterogeneous tissues.Cell population-specific expression analysis of human cerebellumGene expression deconvolution in clinical samples.PERT: a method for expression deconvolution of human blood samples from varied microenvironmental and developmental conditions.A 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.A method for cell type marker discovery by high-throughput gene expression analysis of mixed cell populations.Gene expression profiling of immunomagnetically separated cells directly from stabilized whole blood for multicenter clinical trialsISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis.A Balanced Tissue Composition Reveals New Metabolic and Gene Expression Markers in Prostate CancerImproving sensitivity of linear regression-based cell type-specific differential expression deconvolution with per-gene vs. global significance threshold.Deconvoluting complex tissues for expression quantitative trait locus-based analyses.A prototype tobacco-associated oral squamous cell carcinoma classifier using RNA from brush cytologyEstimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression.Computational deconvolution: extracting cell type-specific information from heterogeneous samples.Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.High-throughput genomic profiling of tumor-infiltrating leukocytes.Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction.ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.A sequential Monte Carlo approach to gene expression deconvolution.Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data.Transcriptomic analysis of the tumor microenvironment to guide prognosis and immunotherapies.Statistical mechanics approach to the sample deconvolution problem.Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs.
P2860
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P2860
Separation of samples into their constituents using gene expression data.
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Separation of samples into their constituents using gene expression data.
@ast
Separation of samples into their constituents using gene expression data.
@en
type
label
Separation of samples into their constituents using gene expression data.
@ast
Separation of samples into their constituents using gene expression data.
@en
prefLabel
Separation of samples into their constituents using gene expression data.
@ast
Separation of samples into their constituents using gene expression data.
@en
P2093
P356
P1433
P1476
Separation of samples into their constituents using gene expression data.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/17.SUPPL_1.S279
P407
P478
17 Suppl 1
P577
2001-01-01T00:00:00Z