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Reuse of imputed data in microarray analysis increases imputation efficiency

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title

Reuse of imputed data in microarray analysis increases imputation efficiency (English)

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Ki-Yeol Kim

1

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Byoung-Jin Kim

series ordinal

2

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Gwan-Su Yi

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3

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language of work or name

English

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publication date

26 October 2004

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published in

BMC Bioinformatics

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volume

5

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issue

1

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page(s)

160

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cites work

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7 April 2017

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7 April 2017

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

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7 April 2017

Genomic expression programs in the response of yeast cells to environmental changes

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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

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Missing value estimation methods for DNA microarrays

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Diversity of gene expression in adenocarcinoma of the lung

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Computational analysis of microarray data

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Variation in gene expression patterns in follicular lymphoma and the response to rituximab

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28 September 2017

Genome-wide analysis of gene expression regulated by the calcineurin/Crz1p signaling pathway in Saccharomyces cerevisiae

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28 September 2017

Treating missing data in a clinical neuropsychological dataset--data imputation

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PubMed Central

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Identifiers

DOI

10.1186/1471-2105-5-160

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4519583

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journals/bmcbi/KimKY04

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DBLP Dataset 2021-01-02

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28 January 2021

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1043150451

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OpenCitations bibliographic resource ID

4519583

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4519583

PubMed publication ID

15504240

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4519583

ResearchGate publication ID

8213473

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(Q24794335)

Reuse of imputed data in microarray analysis increases imputation efficiency

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