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Literature DB >> 15226741

Statistical concerns about the GSEA procedure.

Doris Damian, Malka Gorfine.

Abstract

Entities: Chemical

Mesh：

Year: 2004 PMID： 15226741 DOI： 10.1038/ng0704-663a

Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330

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54 in total

1. Pathway crosstalk effects: Shrinkage and disentanglement using a Bayesian hierarchical model.

Authors: Alin Tomoiaga; Peter Westfall; Michele Donato; Sorin Draghici; Sonia Hassan; Roberto Romero; Paola Tellaroli
Journal: Stat Biosci Date: 2016-07-26

2. Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer.

Authors: Rayjean J Hung; Cornelia M Ulrich; Ellen L Goode; Yonathan Brhane; Kenneth Muir; Andrew T Chan; Loic Le Marchand; Joellen Schildkraut; John S Witte; Rosalind Eeles; Paolo Boffetta; Margaret R Spitz; Julia G Poirier; David N Rider; Brooke L Fridley; Zhihua Chen; Christopher Haiman; Fredrick Schumacher; Douglas F Easton; Maria Teresa Landi; Paul Brennan; Richard Houlston; David C Christiani; John K Field; Heike Bickeböller; Angela Risch; Zsofia Kote-Jarai; Fredrik Wiklund; Henrik Grönberg; Stephen Chanock; Sonja I Berndt; Peter Kraft; Sara Lindström; Ali Amin Al Olama; Honglin Song; Catherine Phelan; Nicholas Wentzensen; Ulrike Peters; Martha L Slattery; Thomas A Sellers; Graham Casey; Stephen B Gruber; David J Hunter; Christopher I Amos; Brian Henderson
Journal: J Natl Cancer Inst Date: 2015-08-29 Impact factor: 13.506

Review 9. Gene expression arrays as a tool to unravel mechanisms of normal tissue radiation injury and prediction of response.

Authors: Jacqueline J C M Kruse; Fiona A Stewart
Journal: World J Gastroenterol Date: 2007-05-21 Impact factor: 5.742

Review 10. Challenges and approaches to statistical design and inference in high-dimensional investigations.

Authors: Gary L Gadbury; Karen A Garrett; David B Allison
Journal: Methods Mol Biol Date: 2009

Statistical concerns about the GSEA procedure.

1. Pathway crosstalk effects: Shrinkage and disentanglement using a Bayesian hierarchical model.

2. Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer.

3. Analysis of microarray experiments of gene expression profiling.

4. A network-based gene-weighting approach for pathway analysis.

5. Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.

6. Discovering statistically significant pathways in expression profiling studies.

7. Bayesian gene set analysis for identifying significant biological pathways.

8. The limitations of simple gene set enrichment analysis assuming gene independence.

Review 9. Gene expression arrays as a tool to unravel mechanisms of normal tissue radiation injury and prediction of response.

Review 10. Challenges and approaches to statistical design and inference in high-dimensional investigations.