Sequence biases in large scale gene expression profiling data.
about
A combination of LongSAGE with Solexa sequencing is well suited to explore the depth and the complexity of transcriptomeNCBI GEO: mining tens of millions of expression profiles--database and tools updateSubstantial biases in ultra-short read data sets from high-throughput DNA sequencingDetailed transcriptome atlas of the pancreatic beta cellMeta-analysis of differentially expressed genes in osteosarcoma based on gene expression data.Identification of commonly dysregulated genes in colorectal cancer by integrating analysis of RNA-Seq data and qRT-PCR validation.Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets.Compositional properties of human cDNA libraries: practical implications.Comprehensive serial analysis of gene expression of the cervical transcriptome.Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates.Deep analysis of cellular transcriptomes - LongSAGE versus classic MPSSDigital gene expression signatures for maize development.Next-generation tag sequencing for cancer gene expression profiling.Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development.Identification of differentially expressed genes in pituitary adenomas by integrating analysis of microarray data.Reconstruction and analysis of human kidney-specific metabolic network based on omics data.An atlas of bovine gene expression reveals novel distinctive tissue characteristics and evidence for improving genome annotationIntegrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technologyIdentification of candidate genes in osteoporosis by integrated microarray analysis.Integrated analysis of different microarray studies to identify candidate genes in type 1 diabetes.Identification of differentially-expressed genes between early-stage adenocarcinoma and squamous cell carcinoma lung cancer using meta-analysis methods.Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models.Integrated analysis of differential gene expression profiles in hippocampi to identify candidate genes involved in Alzheimer's diseaseQuantification of the yeast transcriptome by single-molecule sequencing.Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms.Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes.Meta-analysis of gene expression profiles to predict response to biologic agents in rheumatoid arthritis.Whole transcriptome analysis identifies differentially regulated networks between osteosarcoma and normal bone samples.Beyond genomics: understanding exposotypes through metabolomics.
P2860
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P2860
Sequence biases in large scale gene expression profiling data.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Sequence biases in large scale gene expression profiling data.
@ast
Sequence biases in large scale gene expression profiling data.
@en
type
label
Sequence biases in large scale gene expression profiling data.
@ast
Sequence biases in large scale gene expression profiling data.
@en
prefLabel
Sequence biases in large scale gene expression profiling data.
@ast
Sequence biases in large scale gene expression profiling data.
@en
P2093
P2860
P356
P1476
Sequence biases in large scale gene expression profiling data.
@en
P2093
Allen D Delaney
Angelique Schnerch
Asim S Siddiqui
Marco A Marra
Steven J M Jones
P2860
P356
10.1093/NAR/GKL404
P407
P50
P577
2006-07-13T00:00:00Z