Package GANPAdata. February 19, 2015
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1 Type Package Title The GANPA Datasets Package Version 1.0 Date Package GANPAdata February 19, 2015 Author Zhaoyuan Fang, Weidong Tian and Hongbin Ji Maintainer Zhaoyuan Fang Suggests GANPA This is a dataset package for GANPA, which implements a network-based gene weighting approach to pathway analysis. This package includes data useful for GANPA, such as a functional association network, pathways, an expression dataset and multi-subunit proteins. License GPL-2 LazyLoad yes Depends R (>= 2.10) Repository CRAN Date/Publication :57:06 NeedsCompilation no R topics documented: GANPAdata-package gexprs.p gnet gsets.msigdb.pnas msp.groups Index 6 1
2 2 gexprs.p53 GANPAdata-package The GANPA Datasets Package Details This is a dataset package for GANPA, which implements a network-based gene weighting approach to pathway analysis. This package includes data useful for GANPA, such as a functional association network, pathways, an expression dataset and multi-subunit proteins. Package: GANPAdata Type: Package Version: 1.0 Date: License: GPL-2 LazyLoad: yes Author(s) Zhaoyuan Fang, Weidong Tian and Hongbin Ji Maintainer: Zhaoyuan Fang <fangzhaoyuan@sibs.ac.cn> Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, and Jill P. Mesirov. Gene set enrichment analysis: A knowledge-based approach for interpreting genomewide expression profiles. PNAS (43): gexprs.p53 Gene expression data for the P53 dataset The P53 dataset is consisted of gene expression profiling of 17 P53-wildtype (WT) and 33 P53- mutated (MUT) cancer cell lines.
3 gnet 3 Source data(gexprs.p53) A List of 2 matrices. $ gexprs : num [1:10100, 1:50] $ sampleinfo: chr [1:50, 1:2] Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, and Jill P. Mesirov. Gene set enrichment analysis: A knowledge-based approach for interpreting genomewide expression profiles. PNAS (43): data(gexprs.p53) gnet gnet: A comprehensive gene functional association network gnet was constructed from protein-protein interactions (PPI), co-annotation in GO Biological Process (BP), and co-expression in large scale gene expression microarray data. Several limits have been applied to these data sources to achieve specificity. data(gnet) A List of character vectors.
4 4 msp.groups data(gnet) gsets.msigdb.pnas Functional Gene Sets Used in GSEA PNAS Publication Source A list of 522 C2 functional gene sets, see reference for details. data(gsets.msigdb.pnas) A List of 522 character vectors. Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, and Jill P. Mesirov. Gene set enrichment analysis: A knowledge-based approach for interpreting genomewide expression profiles. PNAS (43): data(gsets.msigdb.pnas) msp.groups A List of Human Multi-subunit Proteins A list of genes encoding 82 multi-subunit proteins were extracted from human genes. data(msp.groups) A List of 82 character vectors.
5 msp.groups 5 Details A multi-subunit protein is named in the format of Multi.XXX where XXX is a member gene picked arbitrarily from the subunit gene group. Note this naming rule is just for convenience. data(msp.groups)
6 Index Topic datasets gexprs.p53, 2 gnet, 3 gsets.msigdb.pnas, 4 msp.groups, 4 Topic package GANPAdata-package, 2 GANPAdata (GANPAdata-package), 2 GANPAdata-package, 2 gexprs.p53, 2 gnet, 3 gsets.msigdb.pnas, 4 msp.groups, 4 6
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