A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.
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A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastomaVariation-preserving normalization unveils blind spots in gene expression profiling.Limited cutaneous systemic sclerosis skin demonstrates distinct molecular subsets separated by a cardiovascular development gene expression signatureClinically relevant genes and regulatory pathways associated with NRASQ61 mutations in melanoma through an integrative genomics approach.The association of copy number variation and percent mammographic densityMolecular characterization of systemic sclerosis esophageal pathology identifies inflammatory and proliferative signaturesRisk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasetsMaternal smoking impacts key biological pathways in newborns through epigenetic modification in Utero.Protein complex-based analysis is resistant to the obfuscating consequences of batch effects --- a case study in clinical proteomics.Robust transcriptional tumor signatures applicable to both formalin-fixed paraffin-embedded and fresh-frozen samples.Differential expression analysis for individual cancer samples based on robust within-sample relative gene expression orderings across multiple profiling platforms.Evaluation of inter-batch differences in stem-cell derived neurons.Identifying and mitigating batch effects in whole genome sequencing data.Biobanking: An Important Resource for Precision Medicine in Glioblastoma.The landscape of copy number variations in Finnish families with autism spectrum disorders.A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies.Statistically controlled identification of differentially expressed genes in one-to-one cell line comparisons of the CMAP database for drug repositioning.Assessment of Variability in the SOMAscan Assay.Agreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time.Feature Specific Quantile Normalization Enables Cross-Platform Classification of Molecular Subtypes using Gene Expression Data.A robust gene signature for the prediction of early relapse in stage I-III colon cancer.A 35-gene signature discriminates between rapidly- and slowly-progressing glioblastoma multiforme and predicts survival in known subtypes of the cancer.Discovery of Blood Transcriptional Endotypes in Women with Pelvic Inflammatory Disease.Human pharyngeal microbiota in age-related macular degenerationLong Noncoding RNA Signature and Disease Outcome in Estrogen Receptor-Positive Breast Cancer Patients Treated with TamoxifenGene Expression Signatures Can Aid Diagnosis of Sexually Transmitted Infection-Induced Endometritis in WomenAn ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets
P2860
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P2860
A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
A new statistic for identifyin ...... principal component analysis.
@ast
A new statistic for identifyin ...... principal component analysis.
@en
type
label
A new statistic for identifyin ...... principal component analysis.
@ast
A new statistic for identifyin ...... principal component analysis.
@en
prefLabel
A new statistic for identifyin ...... principal component analysis.
@ast
A new statistic for identifyin ...... principal component analysis.
@en
P2093
P2860
P50
P356
P1433
P1476
A new statistic for identifyin ...... principal component analysis.
@en
P2093
Elizabeth J Atkinson
Jean-Pierre A Kocher
Jeanette E Eckel-Passow
Mariza de Andrade
Terry M Therneau
P2860
P304
P356
10.1093/BIOINFORMATICS/BTT480
P407
P577
2013-08-19T00:00:00Z