ANOSVA: a statistical method for detecting splice variation from expression data.
about
Discovery of tissue-specific exons using comprehensive human exon microarraysGene Expression Signatures of Coronary Heart DiseaseUnusual intron conservation near tissue-regulated exons found by splicing microarrays.An annotation infrastructure for the analysis and interpretation of Affymetrix exon array data.Global analysis of aberrant pre-mRNA splicing in glioblastoma using exon expression arrays.FIRMA: a method for detection of alternative splicing from exon array dataeasyExon--a Java-based GUI tool for processing and visualization of Affymetrix exon array data.Prediction of alternatively skipped exons and splicing enhancers from exon junction arrays.Consistency analysis of redundant probe sets on affymetrix three-prime expression arrays and applications to differential mRNA processingREMAS: a new regression model to identify alternative splicing events from exon array dataResolving deconvolution ambiguity in gene alternative splicing.A random effects model for the identification of differential splicing (REIDS) using exon and HTA arraysSingular Value Decomposition-based Alternative Splicing Detection.Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays.Detecting differential usage of exons from RNA-seq dataSplicerEX: a tool for the automated detection and classification of mRNA changes from conventional and splice-sensitive microarray expression data.Identification and characterization of alternative exon usage linked glioblastoma multiforme survivalInferring polymorphism-induced regulatory gene networks active in human lymphocyte cell lines by weighted linear mixed model analysis of multiple RNA-Seq datasets.Algorithms for differential splicing detection using exon arrays: a comparative assessment.LATENT RANK CHANGE DETECTION FOR ANALYSIS OF SPLICE-JUNCTION MICROARRAYS WITH NONLINEAR EFFECTS.iGEMS: an integrated model for identification of alternative exon usage events.Overestimation of alternative splicing caused by variable probe characteristics in exon arrays.R and Bioconductor solutions for alternative splicing detection.MADS: a new and improved method for analysis of differential alternative splicing by exon-tiling microarrays.Reproducible probe-level analysis of the Affymetrix Exon 1.0 ST array with R/Bioconductor.Splice variants as novel targets in pancreatic ductal adenocarcinoma.Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies.Alternative transcription of a shorter, non-anti-angiogenic thrombospondin-2 variant in cancer-associated blood vessels.A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosisAccurate Detection of Differential Expression and Splicing Using Low-Level Features
P2860
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P2860
ANOSVA: a statistical method for detecting splice variation from expression data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
ANOSVA: a statistical method for detecting splice variation from expression data.
@ast
ANOSVA: a statistical method for detecting splice variation from expression data.
@en
type
label
ANOSVA: a statistical method for detecting splice variation from expression data.
@ast
ANOSVA: a statistical method for detecting splice variation from expression data.
@en
prefLabel
ANOSVA: a statistical method for detecting splice variation from expression data.
@ast
ANOSVA: a statistical method for detecting splice variation from expression data.
@en
P2093
P356
P1433
P1476
ANOSVA: a statistical method for detecting splice variation from expression data.
@en
P2093
Alan Williams
Jing-Shan Hu
John Blume
Melissa S Cline
Nathan Salomonis
Simon Cawley
P304
P356
10.1093/BIOINFORMATICS/BTI1010
P407
P478
21 Suppl 1
P577
2005-06-01T00:00:00Z