2004
DOI: 10.1038/nbt0604-656b
|View full text |Cite|
|
Sign up to set email alerts
|

Preprocessing of oligonucleotide array data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
260
0

Year Published

2005
2005
2016
2016

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 337 publications
(261 citation statements)
references
References 8 publications
1
260
0
Order By: Relevance
“…Analyzed by GeneSpring GX 11.0, profiling data of 28,869 genes were normalized by 75 percentile and summarized with the Robust Multichip Analysis algorithm (GeneSpring GX Manual, Agilent). 12 Averaging the expression data between transfection reagent-treated cells and untreated cells was taken as the negative control. Differentially expressed genes were obtained by comparing the averaged data between duplicated pre-miR-204-treated cells with negative control.…”
Section: Cdna Microarray Analysismentioning
confidence: 99%
“…Analyzed by GeneSpring GX 11.0, profiling data of 28,869 genes were normalized by 75 percentile and summarized with the Robust Multichip Analysis algorithm (GeneSpring GX Manual, Agilent). 12 Averaging the expression data between transfection reagent-treated cells and untreated cells was taken as the negative control. Differentially expressed genes were obtained by comparing the averaged data between duplicated pre-miR-204-treated cells with negative control.…”
Section: Cdna Microarray Analysismentioning
confidence: 99%
“…The expression data were normalised using the sequence-enhanced Robust Multi-Array Average (GC-RMA) algorithm [21] implemented in ArrayAssist Software (Iobion). The data were filtered to remove probe sets below the detection limit (absent according to Affymetrix detection algorithm in MAS 5.0), thereby reducing the dataset from 15,866 to 10,346 probes (annotated genes and expressed sequence tags [ESTs]) with detection in at least three of five arrays (Table 1).…”
Section: Gene Expression Analysismentioning
confidence: 99%
“…The statistical analysis for the DNA microarray data was carried out using the libraries gcrma and limma of the Bioconductor Project, version 1.5. The data preprocessing steps, background-adjustment, normalization and computation of GCRMA gene expression measures (on log2 scale), were performed according to Wu and colleagues (Wu and Irizarry, 2004). For the statistical analysis empirical Bayes inference for linear models with factors training group (CT, SRT) and time point (1 h, 7 h, 24 h) and their interaction was used (Smyth, 2004).…”
Section: Signal Analysismentioning
confidence: 99%