PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.
about
Massive genomic rearrangement acquired in a single catastrophic event during cancer developmentGLO1-A novel amplified gene in human cancerDeciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicineCancer evolution: mathematical models and computational inferenceSmall molecule inhibition of group I p21-activated kinases in breast cancer induces apoptosis and potentiates the activity of microtubule stabilizing agents.Phylogenetic quantification of intra-tumour heterogeneityStatistical Inference in Hidden Markov Models Using k-Segment ConstraintsSpatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysisBayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approachThe Growing Importance of CNVs: New Insights for Detection and Clinical InterpretationSystematic identification of genomic markers of drug sensitivity in cancer cellsSomatic structural rearrangements in genetically engineered mouse mammary tumors.Unraveling the clonal hierarchy of somatic genomic aberrations.Bivariate segmentation of SNP-array data for allele-specific copy number analysis in tumour samples.THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing dataDeciphering clonality in aneuploid breast tumors using SNP array and sequencing data.DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing.sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors.TumorBoost: normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarraysseqCNA: an R package for DNA copy number analysis in cancer using high-throughput sequencing.HaplotypeCN: copy number haplotype inference with Hidden Markov Model and localized haplotype clusteringA statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping dataHigh-definition reconstruction of clonal composition in cancerChromosomal instability confers intrinsic multidrug resistance.Making sense of cancer genomic data.A computational framework discovers new copy number variants with functional importanceNetwork-guided analysis of genes with altered somatic copy number and gene expression reveals pathways commonly perturbed in metastatic melanoma.Detecting copy number status and uncovering subclonal markers in heterogeneous tumor biopsies.Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity.Model-integrated estimation of normal tissue contamination for cancer SNP allelic copy number data.The elusive evidence for chromothripsisCopy number polymorphisms near SLC2A9 are associated with serum uric acid concentrationsCorrecting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data.Allele-specific copy number analysis of tumors.Absolute quantification of somatic DNA alterations in human cancerHybridization and amplification rate correction for affymetrix SNP arrays.Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohortCopy-number-aware differential analysis of quantitative DNA sequencing dataMutation discovery in regions of segmental cancer genome amplifications with CoNAn-SNV: a mixture model for next generation sequencing of tumorsPyClone: statistical inference of clonal population structure in cancer.
P2860
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P2860
PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@ast
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@en
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@nl
type
label
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@ast
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@en
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@nl
prefLabel
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@ast
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@en
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@nl
P2093
P2860
P50
P356
P1433
P1476
PICNIC: an algorithm to predic ...... n with microarray cancer data.
@en
P2093
Adam Butler
Chris D Greenman
Dave Beare
Graham Bignell
Jon Hinton
P Andy Futreal
Sajani Swamy
Thomas Santarius
P2860
P304
P356
10.1093/BIOSTATISTICS/KXP045
P577
2009-10-15T00:00:00Z