Literature DB >> 18309960

Run batch effects potentially compromise the usefulness of genomic signatures for ovarian cancer.

Keith A Baggerly, Kevin R Coombes, E Shannon Neeley.   

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Year:  2008        PMID: 18309960     DOI: 10.1200/JCO.2007.15.1951

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


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  28 in total

1.  Genetic and nongenetic variation revealed for the principal components of human gene expression.

Authors:  Anita Goldinger; Anjali K Henders; Allan F McRae; Nicholas G Martin; Greg Gibson; Grant W Montgomery; Peter M Visscher; Joseph E Powell
Journal:  Genetics       Date:  2013-09-11       Impact factor: 4.562

Review 2.  Recent developments in quantitative proteomics.

Authors:  Christopher H Becker; Marshall Bern
Journal:  Mutat Res       Date:  2010-07-08       Impact factor: 2.433

3.  Cautionary Note on Using Cross-Validation for Molecular Classification.

Authors:  Li-Xuan Qin; Huei-Chung Huang; Colin B Begg
Journal:  J Clin Oncol       Date:  2016-11-10       Impact factor: 44.544

4.  Clinical trials in the era of personalized oncology.

Authors:  Michael L Maitland; Richard L Schilsky
Journal:  CA Cancer J Clin       Date:  2011-10-27       Impact factor: 508.702

5.  Batch effects and pathway analysis: two potential perils in cancer studies involving DNA methylation array analysis.

Authors:  Kristin N Harper; Brandilyn A Peters; Mary V Gamble
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-04-29       Impact factor: 4.254

Review 6.  Tackling the widespread and critical impact of batch effects in high-throughput data.

Authors:  Jeffrey T Leek; Robert B Scharpf; Héctor Corrada Bravo; David Simcha; Benjamin Langmead; W Evan Johnson; Donald Geman; Keith Baggerly; Rafael A Irizarry
Journal:  Nat Rev Genet       Date:  2010-09-14       Impact factor: 53.242

7.  Bagged gene shaving for the robust clustering of high-throughput data.

Authors:  Bradley M Broom; Erik P Sulman; Kim-Anh Do; Mary E Edgerton
Journal:  Int J Bioinform Res Appl       Date:  2010

8.  Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles.

Authors:  Robert R Kitchen; Vicky S Sabine; Andrew H Sims; E Jane Macaskill; Lorna Renshaw; Jeremy S Thomas; Jano I van Hemert; J Michael Dixon; John M S Bartlett
Journal:  BMC Genomics       Date:  2010-02-24       Impact factor: 3.969

9.  Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples.

Authors:  Markus Riester; Wei Wei; Levi Waldron; Aedin C Culhane; Lorenzo Trippa; Esther Oliva; Sung-Hoon Kim; Franziska Michor; Curtis Huttenhower; Giovanni Parmigiani; Michael J Birrer
Journal:  J Natl Cancer Inst       Date:  2014-04-03       Impact factor: 13.506

10.  Identification of significant features in DNA microarray data.

Authors:  Eric Bair
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2013-07
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