Apparently low reproducibility of true differential expression discoveries in microarray studies.
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Performance reproducibility index for classificationTranscriptional analysis of the pre-erythrocytic stages of the rodent malaria parasite, Plasmodium yoeliiIdentification of Biomarker and Co-Regulatory Motifs in Lung Adenocarcinoma Based on Differential InteractionsA network-based method to evaluate quality of reproducibility of differential expression in cancer genomics studiesIntegrative computational biology for cancer researchProteomic Upregulation of Fatty Acid Synthase and Fatty Acid Binding Protein 5 and Identification of Cancer- and Race-Specific Pathway Associations in Human Prostate Cancer Tissues.Extracting consistent knowledge from highly inconsistent cancer gene data sources.Identification of human HK genes and gene expression regulation study in cancer from transcriptomics data analysis.Molecular signature of cancer at gene level or pathway level? Case studies of colorectal cancer and prostate cancer microarray data.Empirical evaluation of consistency and accuracy of methods to detect differentially expressed genes based on microarray data.Deciphering global signal features of high-throughput array data from cancers.Data Requirements for Model-Based Cancer Prognosis PredictionA statistical framework for integrating two microarray data sets in differential expression analysisQuantitative comparison of microarray experiments with published leukemia related gene expression signatures.Evaluation of the psoriasis transcriptome across different studies by gene set enrichment analysis (GSEA).Identifying disease-associated pathways in one-phenotype data based on reversal gene expression orderings.Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis.Multi-factorial analysis of class prediction error: estimating optimal number of biomarkers for various classification rules.Pneumocystis jirovecii colonization is associated with enhanced Th1 inflammatory gene expression in lungs of humans with chronic obstructive pulmonary disease.Reproducible cancer biomarker discovery in SELDI-TOF MS using different pre-processing algorithms.Extensive up-regulation of gene expression in cancer: the normalised use of microarray data.Reproducibility and concordance of differential DNA methylation and gene expression in cancer.Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.Volcano plots in analyzing differential expressions with mRNA microarrays.Biological impact of missing-value imputation on downstream analyses of gene expression profiles.Cross-study homogeneity of psoriasis gene expression in skin across a large expression range.Pitfalls in experimental designs for characterizing the transcriptional, methylational and copy number changes of oncogenes and tumor suppressor genes.An integrated approach to uncover driver genes in breast cancer methylation genomes.Genes dysregulated to different extent or oppositely in estrogen receptor-positive and estrogen receptor-negative breast cancers.Learning biomarkers of pluripotent stem cells in mouse.Similar source of differential blood mRNAs in lung cancer and pulmonary inflammatory diseases: calls for improved strategy for identifying cancer-specific biomarkersProfile of differentially expressed intratumoral cytokines to predict the immune-polarizing side effects of tamoxifen in breast cancer treatmentIdentification of reproducible drug-resistance-related dysregulated genes in small-scale cancer cell line experiments.Differentially Expressed Genes and Signature Pathways of Human Prostate Cancer.Evaluation of drug-targetable genes by defining modes of abnormality in gene expression.The influence of cancer tissue sampling on the identification of cancer characteristics.Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.Identifying clinically relevant drug resistance genes in drug-induced resistant cancer cell lines and post-chemotherapy tissuesClear cell renal cell carcinoma associated microRNA expression signatures identified by an integrated bioinformatics analysis.Discriminating cancer-related and cancer-unrelated chemoradiation-response genes for locally advanced rectal cancers.
P2860
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P2860
Apparently low reproducibility of true differential expression discoveries in microarray studies.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Apparently low reproducibility ...... overies in microarray studies.
@en
Apparently low reproducibility ...... overies in microarray studies.
@nl
type
label
Apparently low reproducibility ...... overies in microarray studies.
@en
Apparently low reproducibility ...... overies in microarray studies.
@nl
prefLabel
Apparently low reproducibility ...... overies in microarray studies.
@en
Apparently low reproducibility ...... overies in microarray studies.
@nl
P2093
P356
P1433
P1476
Apparently low reproducibility ...... overies in microarray studies.
@en
P2093
Jinfeng Zou
P304
P356
10.1093/BIOINFORMATICS/BTN365
P407
P50
P577
2008-07-16T00:00:00Z