(Q33257297)

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A biological question and a balanced (orthogonal) design: the ingredients to efficiently analyze two-color microarrays with Confirmatory Factor Analysis

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scholarly article

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Europe PubMed Central

PubMed publication ID

24 July 2017

A biological question and a balanced (orthogonal) design: the ingredients to efficiently analyze two-color microarrays with Confirmatory Factor Analysis (English)

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Europe PubMed Central

PubMed publication ID

24 July 2017

6

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Robert M W Hofstra

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Europe PubMed Central

PubMed publication ID

24 July 2017

Geertruida H de Bock

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Geertruida H de Bock

9

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Anne P G Crijns

1

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Europe PubMed Central

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24 July 2017

Frans Gerbens

2

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Europe PubMed Central

PubMed publication ID

24 July 2017

A Edo D Plantinga

3

1 reference

Europe PubMed Central

PubMed publication ID

24 July 2017

Gert Jan Meersma

4

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Europe PubMed Central

PubMed publication ID

24 July 2017

Steven de Jong

5

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Europe PubMed Central

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24 July 2017

Elisabeth G E de Vries

7

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Europe PubMed Central

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24 July 2017

Ate G J van der Zee

8

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24 July 2017

Gerard J te Meerman

10

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24 July 2017

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publication date

12 September 2006

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Europe PubMed Central

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24 July 2017

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Europe PubMed Central

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24 July 2017

7

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Europe PubMed Central

PubMed publication ID

24 July 2017

232

1 reference

Europe PubMed Central

PubMed publication ID

24 July 2017

copyright license

Creative Commons Attribution 2.0 Generic

12 September 2006

1 reference

April 2022 Public Data File from Crossref

copyright status

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April 2022 Public Data File from Crossref

Identification of genes whose expression is associated with cisplatin resistance in human ovarian carcinoma cells

1 reference

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1 reference

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Gene selection for microarray data analysis using principal component analysis

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cDNA microarray-based identification of genes and pathways associated with oxaliplatin resistance

1 reference

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Intensity-based analysis of two-colour microarrays enables efficient and flexible hybridization designs.

1 reference

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Questions and answers on design of dual-label microarrays for identifying differentially expressed genes

1 reference

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Microarray data normalization and transformation

1 reference

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Fundamentals of experimental design for cDNA microarrays

1 reference

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Nonparametric methods for identifying differentially expressed genes in microarray data

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Block principal component analysis with application to gene microarray data classification

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Interactive exploration of microarray gene expression patterns in a reduced dimensional space

1 reference

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A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments

1 reference

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1 reference

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Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation

1 reference

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Constraint structure analysis of gene expression

1 reference

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Assessing gene significance from cDNA microarray expression data via mixed models

1 reference

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Analysis of variance for gene expression microarray data

1 reference

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21 June 2018

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

1 reference

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Singular value decomposition for genome-wide expression data processing and modeling

1 reference

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Principal components analysis to summarize microarray experiments: application to sporulation time series

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Fundamental patterns underlying gene expression profiles: simplicity from complexity

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Remodeling of the extracellular matrix through overexpression of collagen VI contributes to cisplatin resistance in ovarian cancer cells.

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Partitioning large-sample microarray-based gene expression profiles using principal components analysis

1 reference

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12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Experimental design of DNA microarray experiments

1 reference

https://pubmed.ncbi.nlm.nih.gov/16968534

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inferred from PubMed ID database lookup

Analysis of large-scale gene expression data

1 reference

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1 reference

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Identifiers

10.1186/1471-2164-7-232

1 reference

Europe PubMed Central

PubMed publication ID

24 July 2017

Dimensions Publication ID

0 references

PMC publication ID

1 reference

Europe PubMed Central

PubMed publication ID

24 July 2017

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

24 July 2017

ResearchGate publication ID

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