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A statistical approach for array CGH data analysis

A statistical approach for array CGH data analysis

http://www.wikidata.org/entity/Q24793620

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Pathogenicity of the BRCA1 missense variant M1775K is determined by the disruption of the BRCT phosphopeptide-binding pocket: a multi-modal approach Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression Comparative analysis of copy number variation detection methods and database construction Predictive genes in adjacent normal tissue are preferentially altered by sCNV during tumorigenesis in liver cancer and may rate limiting A high-resolution map of transcription in the yeast genome.Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana.Flexible and accurate detection of genomic copy-number changes from aCGH.Copynumber: Efficient algorithms for single- and multi-track copy number segmentation.Interpreting genomic data via entropic dissection.Bivariate segmentation of SNP-array data for allele-specific copy number analysis in tumour samples.Multisample aCGH data analysis via total variation and spectral regularization.ADaCGH2: parallelized analysis of (big) CNA data.Two-dimensional segmentation for analyzing Hi-C data.Comparative analysis of algorithms for identifying amplifications and deletions in array CGH data.CGHScan: finding variable regions using high-density microarray comparative genomic hybridization data.Spatial normalization of array-CGH data.A Systems Biology Interpretation of Array Comparative Genomic Hybridization (aCGH) Data through Phylogenetics.Markers improve clustering of CGH data.Exploiting noise in array CGH data to improve detection of DNA copy number change.A modified Bayes information criterion with applications to the analysis of comparative genomic hybridization data.ADaCGH: A parallelized web-based application and R package for the analysis of aCGH data.A segmentation/clustering model for the analysis of array CGH data.Sparse representation and Bayesian detection of genome copy number alterations from microarray data.A fast and flexible method for the segmentation of aCGH data.Automated array-CGH optimized for archival formalin-fixed, paraffin-embedded tumor material.A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array.SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain.Exploratory analysis of the copy number alterations in glioblastoma multiforme.Bayesian DNA copy number analysis.Normalized, segmented or called aCGH data?Deciphering the connectivity structure of biological networks using MixNet Transcriptional landscape estimation from tiling array data using a model of signal shift and drift.Analysis of array-CGH data using the R and Bioconductor software suite.A statistical change point model approach for the detection of DNA copy number variations in array CGH data.CMDS: a population-based method for identifying recurrent DNA copy number aberrations in cancer from high-resolution data.A hidden Markov support vector machine framework incorporating profile geometry learning for identifying microbial RNA in tiling array data.An integrated Bayesian analysis of LOH and copy number data.Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays.Determining frequent patterns of copy number alterations in cancer.

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P2860

A statistical approach for array CGH data analysis

http://www.wikidata.org/entity/Q24793620

description

2005 nî lūn-bûn

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2005 թուականին հրատարակուած գիտական յօդուած

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2005 թվականին հրատարակված գիտական հոդված

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2005年の論文

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2005年論文

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2005年論文

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2005年論文

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2005年論文

@zh-mo

2005年論文

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2005年论文

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name

A statistical approach for array CGH data analysis

@ast

A statistical approach for array CGH data analysis

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A statistical approach for array CGH data analysis

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type

label

A statistical approach for array CGH data analysis

@ast

A statistical approach for array CGH data analysis

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A statistical approach for array CGH data analysis

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prefLabel

A statistical approach for array CGH data analysis

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A statistical approach for array CGH data analysis

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A statistical approach for array CGH data analysis

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BMC Bioinformatics

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A statistical approach for array CGH data analysis

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Christian Vaisse

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Franck Picard

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Jean-Jacques Daudin

http://www.w3.org/2001/XMLSchema#string

Marc Lavielle

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Stephane Robin

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P2860

Circular binary segmentation for the analysis of array-based DNA copy number data

High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays

Analysis of array CGH data: from signal ratio to gain and loss of DNA regions.

CGH-Plotter: MATLAB toolbox for CGH-data analysis.

Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances.

Quantile smoothing of array CGH data.

Assembly of microarrays for genome-wide measurement of DNA copy number.

Genomic microarrays in human genetic disease and cancer.

Chromosome aberrations in solid tumors.

Algorithms for the optimal identification of segment neighborhoods.

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10.1186/1471-2105-6-27

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Christian Vaisse

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