MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
about
Microarray comparative genomic hybridisation analysis incorporating genomic organisation, and application to enterobacterial plant pathogens.A robust penalized method for the analysis of noisy DNA copy number data.Visualization of genomic changes by segmented smoothing using an L0 penaltyPenalized weighted low-rank approximation for robust recovery of recurrent copy number variations.Postgenomics of Neisseria meningitidis: an update.Keratin 18-deficiency results in steatohepatitis and liver tumors in old mice: A model of steatohepatitis-associated liver carcinogenesis.High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype
P2860
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P2860
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
description
2009 nî lūn-bûn
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2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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name
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@ast
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@en
type
label
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@ast
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@en
prefLabel
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@ast
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@en
P356
P1433
P1476
MSMAD: a computationally efficient method for the analysis of noisy array CGH data.
@en
P2093
Eva Gelnarova
Michael G Schimek
P304
P356
10.1093/BIOINFORMATICS/BTP022
P407
P50
P577
2009-01-15T00:00:00Z