Jetset: selecting the optimal microarray probe set to represent a gene.
about
Expression of CDK8 and CDK8-interacting Genes as Potential Biomarkers in Breast CancerThe association between copper transporters and the prognosis of cancer patients undergoing chemotherapy: a meta-analysis of literatures and datasetsp21-activated kinase group II small compound inhibitor GNE-2861 perturbs estrogen receptor alpha signaling and restores tamoxifen-sensitivity in breast cancer cellsStress granule-associated protein G3BP2 regulates breast tumor initiation.MST3 promotes proliferation and tumorigenicity through the VAV2/Rac1 signal axis in breast cancer.curatedOvarianData: clinically annotated data for the ovarian cancer transcriptomeA decision theory paradigm for evaluating identifier mapping and filtering methods using data integration.Integrated analysis of global mRNA and protein expression data in HEK293 cells overexpressing PRL-1.Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samplesGene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.Analysis of discordant Affymetrix probesets casts serious doubt on idea of microarray data reutilization.MGFM: a novel tool for detection of tissue and cell specific marker genes from microarray gene expression dataA genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients.Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering.Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data.Imputing gene expression to maximize platform compatibility.FOXO1 downregulation contributes to the oncogenic program of primary mediastinal B-cell lymphoma.Understanding disease mechanisms with models of signaling pathway activities.Inconsistency in large pharmacogenomic studies.Validation of RNAi Silencing Efficiency Using Gene Array Data shows 18.5% Failure Rate across 429 Independent Experiments.KRAS driven expression signature has prognostic power superior to mutation status in non-small cell lung cancer.Computational identification of multi-omic correlates of anticancer therapeutic response.MEK1 is associated with carboplatin resistance and is a prognostic biomarker in epithelial ovarian cancer.Biomolecular events in cancer revealed by attractor metagenes.The CIN4 chromosomal instability qPCR classifier defines tumor aneuploidy and stratifies outcome in grade 2 breast cancer.Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology.Systematic review of genome-wide gene expression studies of bipolar disorderReverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression.Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer.Co-acting gene networks predict TRAIL responsiveness of tumour cells with high accuracy.Lentiviral vector-based insertional mutagenesis identifies genes involved in the resistance to targeted anticancer therapies.A mRNA landscape of bovine embryos after standard and MAPK-inhibited culture conditions: a comparative analysis.Stemness of the hybrid Epithelial/Mesenchymal State in Breast Cancer and Its Association with Poor Survival.TFF2-CXCR4 Axis Is Associated with BRAF V600E Colon Cancer.Meta-analysis of organ-specific differences in the structure of the immune infiltrate in major malignancies.Nek6 and Hif-1α cooperate with the cytoskeletal gateway of drug resistance to drive outcome in serous ovarian cancer.Expression of the MHC Class II Pathway in Triple-Negative Breast Cancer Tumor Cells Is Associated with a Good Prognosis and Infiltrating LymphocytesIdentification of molecular determinants of primary and metastatic tumour re-initiation in breast cancer.Characterization of bovine embryos cultured under conditions appropriate for sustaining human naïve pluripotencyBCL9/9L-β-catenin Signaling is Associated With Poor Outcome in Colorectal Cancer.
P2860
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P2860
Jetset: selecting the optimal microarray probe set to represent a gene.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Jetset: selecting the optimal microarray probe set to represent a gene.
@ast
Jetset: selecting the optimal microarray probe set to represent a gene.
@en
Jetset: selecting the optimal microarray probe set to represent a gene.
@nl
type
label
Jetset: selecting the optimal microarray probe set to represent a gene.
@ast
Jetset: selecting the optimal microarray probe set to represent a gene.
@en
Jetset: selecting the optimal microarray probe set to represent a gene.
@nl
prefLabel
Jetset: selecting the optimal microarray probe set to represent a gene.
@ast
Jetset: selecting the optimal microarray probe set to represent a gene.
@en
Jetset: selecting the optimal microarray probe set to represent a gene.
@nl
P2860
P50
P356
P1433
P1476
Jetset: selecting the optimal microarray probe set to represent a gene.
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-12-474
P577
2011-12-15T00:00:00Z
P5875
P6179
1037968770