MergeMaid: R Tools for Merging and Cross-Study Validation of Gene Expression Data
Gespeichert in:
Verfasser / Beitragende:
[Leslie Cope, Xiaogang Zhong, Elizabeth Garrett, Giovanni Parmigiani]
Ort, Verlag, Jahr:
2004
Enthalten in:
Statistical Applications in Genetics and Molecular Biology, 3/1(2004-10-31), 1-13
Format:
Artikel (online)
Online Zugang:
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| 024 | 7 | 0 | |a 10.2202/1544-6115.1046 |2 doi |
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| 245 | 0 | 0 | |a MergeMaid: R Tools for Merging and Cross-Study Validation of Gene Expression Data |h [Elektronische Daten] |c [Leslie Cope, Xiaogang Zhong, Elizabeth Garrett, Giovanni Parmigiani] |
| 520 | 3 | |a Cross-study validation of gene expression investigations is critical in genomic analysis. We developed an R package and associated object definitions to merge and visualize multiple gene expression datasets. Our merging functions use arbitrary character IDs and generate objects that can efficiently support a variety of joint analyses. Visualization tools support exploration and cross-study validation of the data, without requiring normalization across platforms. Tools include "integrative correlation" plots that is, scatterplots of all pairwise correlations in one study against the corresponding pairwise correlations of another, both for individual genes and all genes combined. Gene-specific plots can be used to identify genes whose changes are reliably measured across studies. Visualizations also include scatterplots of gene-specific statistics quantifying relationships between expression and phenotypes of interest, using linear, logistic and Cox regression. | |
| 540 | |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston | ||
| 690 | 7 | |a Computational Biology/Bioinformatics |2 nationallicence | |
| 690 | 7 | |a Microarrays |2 nationallicence | |
| 690 | 7 | |a gene expression micorarrays |2 nationallicence | |
| 690 | 7 | |a R |2 nationallicence | |
| 690 | 7 | |a validation |2 nationallicence | |
| 690 | 7 | |a meta-analysis |2 nationallicence | |
| 700 | 1 | |a Cope |D Leslie |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | |
| 700 | 1 | |a Zhong |D Xiaogang |u Department of Applied Mathematics and Statistics, Johns Hopkins University |4 aut | |
| 700 | 1 | |a Garrett |D Elizabeth |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | |
| 700 | 1 | |a Parmigiani |D Giovanni |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | |
| 773 | 0 | |t Statistical Applications in Genetics and Molecular Biology |d De Gruyter |g 3/1(2004-10-31), 1-13 |q 3:1<1 |1 2004 |2 3 |o sagmb | |
| 856 | 4 | 0 | |u https://doi.org/10.2202/1544-6115.1046 |q text/html |z Onlinezugriff via DOI |
| 908 | |D 1 |a research article |2 jats | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.2202/1544-6115.1046 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cope |D Leslie |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhong |D Xiaogang |u Department of Applied Mathematics and Statistics, Johns Hopkins University |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Garrett |D Elizabeth |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Parmigiani |D Giovanni |u The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Statistical Applications in Genetics and Molecular Biology |d De Gruyter |g 3/1(2004-10-31), 1-13 |q 3:1<1 |1 2004 |2 3 |o sagmb | ||
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