Probe-level measurement error improves accuracy in detecting differential gene expression. (Q48440427)

11 February 2018

title

Probe-level measurement error improves accuracy in detecting differential gene expression. (English)

1 reference

11 February 2018

author

Neil D. Lawrence

3

1 reference

11 February 2018

Magnus Rattray

4

1 reference

11 February 2018

author name string

Xuejun Liu

1

1 reference

11 February 2018

Marta Milo

2

1 reference

11 February 2018

language of work or name

English

0 references

publication date

4 July 2006

1 reference

11 February 2018

published in

Bioinformatics

1 reference

11 February 2018

volume

22

1 reference

11 February 2018

page(s)

2107-2113

1 reference

11 February 2018

issue

17

1 reference

11 February 2018

A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes

cites work

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Increased power of microarray analysis by use of an algorithm based on a multivariate procedure.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Reducing the variability in cDNA microarray image processing by Bayesian inference.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Expression monitoring by hybridization to high-density oligonucleotide arrays

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

A probabilistic model for the extraction of expression levels from oligonucleotide arrays.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

A model for measurement error for gene expression arrays

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Accounting for probe-level noise in principal component analysis of microarray data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Quantitative monitoring of gene expression patterns with a complementary DNA microarray

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Significance analysis of microarrays applied to the ionizing radiation response

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

Identifying differentially expressed genes from microarray experiments via statistic synthesis.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTL361

10.1093/BIOINFORMATICS/BTL361

21 January 2018

Identifiers

DOI

1 reference

11 February 2018

journals/bioinformatics/LiuMLR06

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

11 February 2018