About: MSMAD: a computationally efficient method for the analysis of noisy array CGH data

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: MSMAD: a computationally efficient method for the analysis of noisy array CGH data Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Genome analysis has become one of the most important tools for understanding the complex process of cancerogenesis. With increasing resolution of CGH arrays, the demand for computationally efficient algorithms arises, which are effective in the detection of aberrations even in very noisy data. We developed a rather simple, non-parametric technique of high computational efficiency for CGH array analysis that adopts a median absolute deviation concept for breakpoint detection, comprising median smoothing for pre-processing. The resulting algorithm has the potential to outperform any single smoothing approach as well as several recently proposed segmentation techniques. We show its performance through the application of simulated and real datasets in comparison to three other methods for array CGH analysis. Genome analysis has become one of the most important tools for understanding the complex process of cancerogenesis. With increasing resolution of CGH arrays, the demand for computationally efficient algorithms arises, which are effective in the detection of aberrations even in very noisy data. We developed a rather simple, non-parametric technique of high computational efficiency for CGH array analysis that adopts a median absolute deviation concept for breakpoint detection, comprising median smoothing for pre-processing. The resulting algorithm has the potential to outperform any single smoothing approach as well as several recently proposed segmentation techniques. We show its performance through the application of simulated and real datasets in comparison to three other methods for array CGH analysis. (en)
Title	MSMAD: a computationally efficient method for the analysis of noisy array CGH data MSMAD: a computationally efficient method for the analysis of noisy array CGH data (en)
skos:prefLabel	MSMAD: a computationally efficient method for the analysis of noisy array CGH data MSMAD: a computationally efficient method for the analysis of noisy array CGH data (en)
skos:notation	RIV/00216224:14110/09:00035237!RIV10-MZ0-14110___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(NR9076), P(NR9484), S
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Gelnarová, Eva Budinská, Eva
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Lékařská fakulta
http://linked.open...dnocenehoVysledku	327886
http://linked.open...ai/riv/idVysledku	RIV/00216224:14110/09:00035237
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	MSMAD; microarray; arrayCGH; median absolute deviation; median smoothing (en)
http://linked.open.../riv/klicoveSlovo	arrayCGH microarray MSMAD median absolute deviation median smoothing
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[7B5FA862B5AF]
http://linked.open...i/riv/nazevZdroje	Bioinformatics
http://linked.open...in/vavai/riv/obor	EB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Gene expression profiling-based prediction of treatment response for patient with locally advanced rectal cancer treated by chemotherapy and radiotherapy High throughput detection of genetic alterations in chronic lymphocytic leukemia using array comparative genomic hybridization
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	25
http://linked.open...iv/tvurceVysledku	Budinská, Eva Schimek, Michael G. Gelnarová, Eva
issn	1367-4803
number of pages	11 (xsd:int)
http://localhost/t...ganizacniJednotka	14110

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software