Expression deconvolution: a reinterpretation of DNA microarray data reveals dynamic changes in cell populations - Wikidata - awgldk - TriplyDB

Expression deconvolution: a reinterpretation of DNA microarray data reveals dynamic changes in cell populations

Expression deconvolution: a reinterpretation of DNA microarray data reveals dynamic changes in cell populations

http://www.wikidata.org/entity/Q30819999

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Integrative analysis of genome-scale data by using pseudoinverse projection predicts novel correlation between DNA replication and RNA transcription In silico microdissection of microarray data from heterogeneous cell populations RNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor Cediranib Perturbation-expression analysis identifies RUNX1 as a regulator of human mammary stem cell differentiation Model-based deconvolution of cell cycle time-series data reveals gene expression details at high resolution Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples Investigation of variation in gene expression profiling of human blood by extended principle component analysis Computational solutions for omics data.DeMix: deconvolution for mixed cancer transcriptomes using raw measured data.An assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samples Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.Multivariate curve resolution of time course microarray data.Estimation of Cell-Type Composition Including T and B Cell Subtypes for Whole Blood Methylation Microarray Data.A self-directed method for cell-type identification and separation of gene expression microarrays.Quantitative analysis of tumor mitochondrial RNA using microarray Computational expression deconvolution in a complex mammalian organ 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.A signature-based method for indexing cell cycle phase distribution from microarray profiles.Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach.Digital cell quantification identifies global immune cell dynamics during influenza infection Assessing the human immune system through blood transcriptomics.Statistical expression deconvolution from mixed tissue samples.Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.Strategies for aggregating gene expression data: the collapseRows R function.PDE7B is a novel, prognostically significant mediator of glioblastoma growth whose expression is regulated by endothelial cells White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection Cell population-specific expression analysis of human cerebellum Gene expression deconvolution in clinical samples.PERT: a method for expression deconvolution of human blood samples from varied microenvironmental and developmental conditions.Interactions with fibroblasts are distinct in Basal-like and luminal breast cancers.Digital sorting of complex tissues for cell type-specific gene expression profiles.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.Two-stage, in silico deconvolution of the lymphocyte compartment of the peripheral whole blood transcriptome in the context of acute kidney allograft rejection.Correspondence regarding Zhong et al., BMC Bioinformatics 2013 Mar 7;14:89 ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.In silico dissection of cell-type-associated patterns of gene expression in prostate cancer Regulatory complexity revealed by integrated cytological and RNA-seq analyses of meiotic substages in mouse spermatocytes.

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Expression deconvolution: a reinterpretation of DNA microarray data reveals dynamic changes in cell populations

http://www.wikidata.org/entity/Q30819999

description

2003 nî lūn-bûn

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2003 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

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2003 թվականի օգոստոսին հրատարակված գիտական հոդված

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2003年の論文

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2003年論文

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2003年論文

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Expression deconvolution: a re ...... ic changes in cell populations

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Expression deconvolution: a re ...... ic changes in cell populations

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Aleksey Nakorchevskiy

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Peng Lu

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P2860

DAF1, a mutant gene affecting size control, pheromone arrest, and cell cycle kinetics of Saccharomyces cerevisiae

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

Optimization by Simulated Annealing

Functional profiling of the Saccharomyces cerevisiae genome

Exploring the metabolic and genetic control of gene expression on a genomic scale

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

Genomic expression programs in the response of yeast cells to environmental changes

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

ZDS1 and ZDS2, genes whose products may regulate Cdc42p in Saccharomyces cerevisiae.

Loss of the plasma membrane-bound protein Gas1p in Saccharomyces cerevisiae results in the release of beta1,3-glucan into the medium and induces a compensation mechanism to ensure cell wall integrity.

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Edward Marcotte

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