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01000caa a22002652 4500 |
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NLM249515873 |
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DE-627 |
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20250218144823.0 |
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tu |
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231224s2014 xx ||||| 00| ||eng c |
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|a pubmed25n0831.xml
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|a (DE-627)NLM249515873
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|a (NLM)26028790
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Cope, Leslie
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Integrative correlation
|b Properties and relation to canonical correlations
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| 264 |
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|c 2014
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Revised 01.10.2020
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a The integrative correlation coefficient was developed to facilitate the validation of expression microarray results in public datasets, by identifying genes that are reproducibly measured across studies and even across microarray platforms. In the current study, we develop a number of interesting and important mathematical and statistical properties of the integrative correlation coefficient, including a unique permutation-based null distribution with the unusual property that the variance does not shrink as the sample size increases, discussing how these findings impact its use and interpretation, and what they have to say about any method for identifying reproducible genes in a meta-analysis
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| 650 |
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|a Journal Article
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| 650 |
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|a Bioinformatics
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| 650 |
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|a Correlation
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| 650 |
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|a Cross-study validation
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| 650 |
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|a Gene expression
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| 650 |
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|a Reproducibility
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| 650 |
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|a Statistics
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| 700 |
1 |
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|a Naiman, Daniel Q
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Parmigiani, Giovanni
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of multivariate analysis
|d 1998
|g 123(2014) vom: 01. Jan., Seite 270-280
|w (DE-627)NLM098253794
|x 0047-259X
|7 nnns
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| 773 |
1 |
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|g volume:123
|g year:2014
|g day:01
|g month:01
|g pages:270-280
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|a AR
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| 952 |
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|d 123
|j 2014
|b 01
|c 01
|h 270-280
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