Gene expression anti-profiles as a basis for accurate universal cancer signatures.
about
Shape analysis of high-throughput transcriptomics experiment dataThe Gene Expression Barcode 3.0: improved data processing and mining tools.Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsamplingQuasi-linear score for capturing heterogeneous structure in biomarkers.Large hypomethylated blocks as a universal defining epigenetic alteration in human solid tumorsLearning dysregulated pathways in cancers from differential variability analysis.Striking differences between knockout and wild-type mice in global gene expression variabilityGene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity.Cancer as a dysregulated epigenome allowing cellular growth advantage at the expense of the hostGSAR: Bioconductor package for Gene Set analysis in RGenome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types.Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine.Determinants of expression variability.Future directions for the early detection of colorectal cancer recurrence.Gene expression profiling for targeted cancer treatment.Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.Molecular Diagnostic Applications in Colorectal Cancer.GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profiles.Generalized t-statistic for two-group classification.Stability of Boolean networks: the joint effects of topology and update rules.Splice Expression Variation Analysis (SEVA) for Inter-tumor Heterogeneity of Gene Isoform Usage in Cancer.Digitizing omics profiles by divergence from a baseline.Gene expression profiling identifies distinct molecular signatures in thrombotic and obstetric antiphospholipid syndrome
P2860
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P2860
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
description
2012 nî lūn-bûn
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2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
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2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@ast
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@en
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@nl
type
label
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@ast
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@en
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@nl
prefLabel
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@ast
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@en
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@nl
P2093
P2860
P356
P1433
P1476
Gene expression anti-profiles as a basis for accurate universal cancer signatures.
@en
P2093
Héctor Corrada Bravo
Matthew McCall
Rafael A Irizarry
Vasyl Pihur
P2860
P2888
P356
10.1186/1471-2105-13-272
P577
2012-10-22T00:00:00Z
P5875
P6179
1037479146