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An algorithm for chemical genomic profiling that minimizes batch effects: bucket evaluationsZNF703 gene amplification at 8p12 specifies luminal B breast cancerErbB2, EphrinB1, Src kinase and PTPN13 signaling complex regulates MAP kinase signaling in human cancersActivation of host wound responses in breast cancer microenvironmentRETRACTED: A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunitiesA methodology for distinguishing divergent cell fates within a common progenitor population: adenoma- and neuroendocrine-like cells are confounders of rat ileal epithelial cell (IEC-18) cultureTotal particulate matter concentration skews cigarette smoke's gene expression profileUsing genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topologyUsing expression genetics to study the neurobiology of ethanol and alcoholismA comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression dataA gene expression signature predicts survival of patients with stage I non-small cell lung cancerBiomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) studyCorrecting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profilesComt1 genotype and expression predicts anxiety and nociceptive sensitivity in inbred strains of miceDirect integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis.Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.INMEX--a web-based tool for integrative meta-analysis of expression dataA new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.Covariance adjustment for batch effect in gene expression dataValidation of alternative methods of data normalization in gene co-expression studies.Correcting gene expression data when neither the unwanted variation nor the factor of interest are observedAnyExpress: integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm.Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactionsNovel and simple transformation algorithm for combining microarray data sets.Immune-Signatures for Lung Cancer Diagnostics: Evaluation of Protein Microarray Data Normalization Strategies.Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.Optimization of cell lines as tumour models by integrating multi-omics data.Merging microarray data from separate breast cancer studies provides a robust prognostic test.The molecular portraits of breast tumors are conserved across microarray platforms.Gene expression patterns associated with p53 status in breast cancer.Key issues in conducting a meta-analysis of gene expression microarray datasets.The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets - improving meta-analysis and prediction of prognosis.Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients.Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations.Gene expression profiling of solitary fibrous tumors.A compact VEGF signature associated with distant metastases and poor outcomes.A systems biology-based gene expression classifier of glioblastoma predicts survival with solid tumors.An attempt for combining microarray data sets by adjusting gene expressionsCan survival prediction be improved by merging gene expression data sets?
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Adjustment of systematic microarray data biases.
@ast
Adjustment of systematic microarray data biases.
@en
type
label
Adjustment of systematic microarray data biases.
@ast
Adjustment of systematic microarray data biases.
@en
prefLabel
Adjustment of systematic microarray data biases.
@ast
Adjustment of systematic microarray data biases.
@en
P2093
P356
P1433
P1476
Adjustment of systematic microarray data biases.
@en
P2093
Dong Xiang
J S Marron
Joel Parker
Junyuan Wu
Monica Benito
P304
P356
10.1093/BIOINFORMATICS/BTG385
P407
P577
2004-01-01T00:00:00Z