-
Something wrong with this record ?
MSMAD: a computationally efficient method for the analysis of noisy array CGH data
E. Budinská, E. Gelnarová, M.G. Schimek
Language English Country Great Britain
Grant support
NR9076
MZ0
CEP Register
NR9484
MZ0
CEP Register
Digital library NLK
Full text - Article
Full text - Article
Source
Source
NLK
Free Medical Journals
from 1996 to 1 year ago
PubMed Central
from 2007
Open Access Digital Library
from 1996-01-01
Medline Complete (EBSCOhost)
from 1998-01-01
Oxford Journals Open Access Collection
from 1985-01-01 to 2022-09-30
Oxford Journals Open Access Collection
from 1985-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1998
- MeSH
- Algorithms MeSH
- Financing, Organized MeSH
- Programming Languages MeSH
- Oligonucleotide Array Sequence Analysis methods MeSH
- Comparative Genomic Hybridization methods MeSH
- Computational Biology methods MeSH
MOTIVATION: 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.
Institute of Biostatistics and Analyses Masaryk University Kamenice 126 3 625 00 Brno Czech Republic
- 000
- 01477naa 2200289 a 4500
- 001
- bmc11009544
- 003
- CZ-PrNML
- 005
- 20140723111537.0
- 008
- 110510s2009 xxk e eng||
- 009
- AR
- 040 __
- $a ABA008 $b cze $c ABA008 $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Budinská, Eva $7 xx0142844
- 245 10
- $a MSMAD: a computationally efficient method for the analysis of noisy array CGH data / $c E. Budinská, E. Gelnarová, M.G. Schimek
- 314 __
- $a Institute of Biostatistics and Analyses, Masaryk University, Kamenice 126/3, 625 00 Brno, Czech Republic. budinska@iba.muni.cz
- 520 9_
- $a MOTIVATION: 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.
- 590 __
- $a bohemika - dle Pubmed
- 650 _2
- $a algoritmy $7 D000465
- 650 _2
- $a srovnávací genomová hybridizace $x metody $7 D055028
- 650 _2
- $a výpočetní biologie $x metody $7 D019295
- 650 _2
- $a sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů $x metody $7 D020411
- 650 _2
- $a programovací jazyk $7 D011381
- 650 _2
- $a financování organizované $7 D005381
- 700 1_
- $a Gelnarová, Eva $7 xx0120443
- 700 1_
- $a Schimek, Michael G.
- 773 0_
- $t Bioinformatics $w MED00008115 $g Roč. 25, č. 6 (2009), s. 703-713
- 910 __
- $a ABA008 $b x $y 2 $z 0
- 990 __
- $a 20110513110015 $b ABA008
- 991 __
- $a 20140723111846 $b ABA008
- 999 __
- $a ok $b bmc $g 839077 $s 702932
- BAS __
- $a 3
- BMC __
- $a 2009 $b 25 $c 6 $d 703-713 $m Bioinformatics $n Bioinformatics $x MED00008115
- GRA __
- $a NR9076 $p MZ0
- GRA __
- $a NR9484 $p MZ0
- LZP __
- $a 2011-2B09/jvme
