A fast and flexible method for the segmentation of aCGH data.
about
SnoopCGH: software for visualizing comparative genomic hybridization dataFast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet CompressionParsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana.FISH Oracle: a web server for flexible visualization of DNA copy number data in a genomic context.Copynumber: Efficient algorithms for single- and multi-track copy number segmentation.Multisample aCGH data analysis via total variation and spectral regularization.ADaCGH2: parallelized analysis of (big) CNA data.NSAIDs modulate clonal evolution in Barrett's esophagus.FACADE: a fast and sensitive algorithm for the segmentation and calling of high resolution array CGH dataDetection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model.A novel SNP analysis method to detect copy number alterations with an unbiased reference signal directly from tumor samples.Making sense of cancer genomic data.Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays.waviCGH: a web application for the analysis and visualization of genomic copy number alterations.A multi-sample based method for identifying common CNVs in normal human genomic structure using high-resolution aCGH dataLearning smoothing models of copy number profiles using breakpoint annotations.Single-cell copy number variation detection.From the core to beyond the margin: a genomic picture of glioblastoma intratumor heterogeneity.Performance evaluation of DNA copy number segmentation methods.CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing.Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sitesA single-sample method for normalizing and combining full-resolution copy numbers from multiple platforms, labs and analysis methods.Methylation profiling and evaluation of demethylating therapy in renal cell carcinoma.Detection and interpretation of genomic structural variation in health and disease.Optimization of Signal Decomposition Matched Filtering (SDMF) for Improved Detection of Copy-Number VariationsbiomvRhsmm: genomic segmentation with hidden semi-Markov model.Multiple samples aCGH analysis for rare CNVs detection.Piecewise-constant and low-rank approximation for identification of recurrent copy number variations.Array comparative genomic hybridization of 18 pancreatic ductal adenocarcinomas and their autologous metastases.iSeg: an efficient algorithm for segmentation of genomic and epigenomic data.Whole-genome profiling helps to classify phyllodes tumours of the breast.Noise cancellation using total variation for copy number variation detection
P2860
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P2860
A fast and flexible method for the segmentation of aCGH data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A fast and flexible method for the segmentation of aCGH data.
@ast
A fast and flexible method for the segmentation of aCGH data.
@en
type
label
A fast and flexible method for the segmentation of aCGH data.
@ast
A fast and flexible method for the segmentation of aCGH data.
@en
prefLabel
A fast and flexible method for the segmentation of aCGH data.
@ast
A fast and flexible method for the segmentation of aCGH data.
@en
P2860
P356
P1433
P1476
A fast and flexible method for the segmentation of aCGH data.
@en
P2093
Erez Ben-Yaacov
Yonina C Eldar
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN272
P407
P577
2008-08-01T00:00:00Z