Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma - Wikidata - wikimedia - TriplyDB

Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma

Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma

http://www.wikidata.org/entity/Q33259831

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Algorithm-driven artifacts in median polish summarization of microarray data Predicting the potential ankylosing spondylitis-related genes utilizing bioinformatics approaches Adjustment method for microarray data generated using two-cycle RNA labeling protocol Large scale comparison of gene expression levels by microarrays and RNAseq using TCGA data.Microarray and ChIP-seq data analysis revealed changes in p53-mediated transcriptional regulation in Nutlin-3-treated U2OS cells Identification of potential COPD genes based on multi-omics data at the functional level.Identification and characterization of the Populus trichocarpa CLE family.Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.Genome-scale analysis identifies GJB2 and ERO1LB as prognosis markers in patients with pancreatic cancer.Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.A Novel Method to Identify Differential Pathways in Hippocampus Alzheimer's Disease Identifying biomarkers of papillary renal cell carcinoma associated with pathological stage by weighted gene co-expression network analysis.Identification of potential target genes associated with the effect of propranolol on angiosarcoma via microarray analysis Identification of genes in HepG2 cells that respond to DNA methylation and histone deacetylation inhibitor treatment ROAST: rotation gene set tests for complex microarray experiments Identification of differently expressed genes and small molecule drugs for Tetralogy of Fallot by bioinformatics strategy.Targets and candidate agents for type 2 diabetes treatment with computational bioinformatics approach.Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer Neuronal calcium signaling pathways are associated with the development of epilepsy Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic view Separate-channel analysis of two-channel microarrays: recovering inter-spot information.Differences in mucosal gene expression in the colon of two inbred mouse strains after colonization with commensal gut bacteria.Identification of hub subnetwork based on topological features of genes in breast cancer Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer.Integrated analysis of differentially expressed genes in breast cancer pathogenesis.A mutation in the NADH-dehydrogenase subunit 2 suppresses fibroblast aging.Genomic profiling screens small molecules of metastatic prostate carcinoma.Identifying miRNA/mRNA negative regulation pairs in colorectal cancer Exploring the Molecular Mechanism and Biomakers of Liver Cancer Based on Gene Expression Microarray Impact of microRNA regulation on variation in human gene expression Low-Dose Cadmium Causes Metabolic and Genetic Dysregulation Associated With Fatty Liver Disease in Mice.Inferring transcriptional and microRNA-mediated regulatory programs in glioblastoma.Deletion of the BMP receptor BMPR1a impairs mammary tumor formation and metastasis.Transcriptional Regulatory Network Analysis of MYB Transcription Factor Family Genes in Rice.Regulators of gene expression as biomarkers for prostate cancer Identification of genes and signaling pathways associated with squamous cell carcinoma by bioinformatics analysis Identification of conserved drought stress responsive gene-network across tissues and developmental stages in rice.Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray.DNA Microarray Analysis in Screening Features of Genes Involved in Spinal Cord Injury.Low-dose oral cadmium increases airway reactivity and lung neuronal gene expression in mice.

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P2860

Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma

http://www.wikidata.org/entity/Q33259831

description

2006 nî lūn-bûn

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2006 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2006 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2006年の論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年论文

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name

Microarray analysis after RNA ...... in gene expression using limma

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Microarray analysis after RNA ...... in gene expression using limma

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type

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Microarray analysis after RNA ...... in gene expression using limma

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Microarray analysis after RNA ...... in gene expression using limma

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Microarray analysis after RNA ...... in gene expression using limma

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Microarray analysis after RNA ...... in gene expression using limma

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Microarray analysis after RNA ...... in gene expression using limma

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P2093

Ilhem Diboun

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Lorenz Wernisch

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Martin Koltzenburg

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P2860

Bioconductor: open software development for computational biology and bioinformatics

Reproducibility of oligonucleotide arrays using small samples

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

Interaction of Brn3a and HIPK2 mediates transcriptional repression of sensory neuron survival

Microarray data normalization and transformation

Evaluation of procedures for amplification of small-size samples for hybridization on microarrays.

Microarray-based comparison of three amplification methods for nanogram amounts of total RNA.

Reliability and reproducibility of gene expression measurements using amplified RNA from laser-microdissected primary breast tissue with oligonucleotide arrays

Small proline-rich repeat protein 1A is expressed by axotomized neurons and promotes axonal outgrowth.

Reproducibility, fidelity, and discriminant validity of mRNA amplification for microarray analysis from primary hematopoietic cells.

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1471-2164-7-252

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7

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Christine Orengo

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6764796

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