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Can Zipf's law be adapted to normalize microarrays?
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title
Can Zipf's law be adapted to normalize microarrays?
(English)
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author
Günther Deuschl
series ordinal
5
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Stefan Schreiber
series ordinal
6
object named as
Stefan Schreiber
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author name string
Tim Lu
series ordinal
1
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Christine M Costello
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2
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Peter J P Croucher
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3
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Robert Häsler
series ordinal
4
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language of work or name
English
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publication date
2005
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published in
BMC Bioinformatics
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volume
6
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issue
1
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page(s)
37
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describes a project that uses
SQL
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stated in
Europe PubMed Central
retrieved
26 June 2022
reference URL
https://europepmc.org/article/PMC/PMC555536
based on heuristic
inferred from PubMed Central ID database lookup
cites work
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
1 reference
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PubMed Central
reference URL
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retrieved
7 April 2017
Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation
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PubMed Central
reference URL
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=555536
retrieved
7 April 2017
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
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PubMed Central
reference URL
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7 April 2017
Principal components analysis to summarize microarray experiments: application to sporulation time series
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PubMed Central
reference URL
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7 April 2017
Systematic variation in gene expression patterns in human cancer cell lines
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reference URL
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7 April 2017
Analysis of variance for gene expression microarray data
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PubMed Central
reference URL
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retrieved
7 April 2017
Using Bayesian networks to analyze expression data
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PubMed Central
reference URL
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7 April 2017
Exploring the new world of the genome with DNA microarrays
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7 April 2017
Universality and flexibility in gene expression from bacteria to human
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PubMed Central
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28 September 2017
New normalization methods for cDNA microarray data
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reference URL
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General statistics of stochastic process of gene expression in eukaryotic cells.
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28 September 2017
Ranking: a closer look on globalisation methods for normalisation of gene expression arrays
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28 September 2017
Making sense of microarray data distributions
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reference URL
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28 September 2017
Adjustments and measures of differential expression for microarray data
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28 September 2017
Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data
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28 September 2017
Centralization: a new method for the normalization of gene expression data.
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28 September 2017
Normalization strategies for cDNA microarrays
1 reference
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PubMed Central
reference URL
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=555536
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28 September 2017
Array of hope
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retrieved
30 May 2018
Zipf's law and human transcriptomes: an explanation with an evolutionary model
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PubMed Central
reference URL
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28 November 2018
Zipf's law in gene expression.
1 reference
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PubMed Central
reference URL
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retrieved
28 November 2018
Analysis of human transcriptomes.
1 reference
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PubMed Central
reference URL
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retrieved
28 November 2018
Identifiers
DOI
10.1186/1471-2105-6-37
0 references
DBLP publication ID
journals/bmcbi/LuCCHDS05
1 reference
stated in
DBLP Dataset 2021-01-02
retrieved
28 January 2021
Dimensions Publication ID
1016992435
0 references
PMC publication ID
555536
0 references
PubMed publication ID
15727680
0 references
ResearchGate publication ID
8005307
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