Hilary Parker
Hilary Parker
Ph.D., Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Verified email at jhsph.edu - Homepage
Title
Cited by
Cited by
Year
The sva package for removing batch effects and other unwanted variation in high-throughput experiments
JT Leek, WE Johnson, HS Parker, AE Jaffe, JD Storey
Bioinformatics 28 (6), 882-883, 2012
20882012
Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction
HS Parker, JT Leek, AV Favorov, M Considine, X Xia, S Chavan, ...
Bioinformatics 30 (19), 2757-2763, 2014
502014
Removing batch effects for prediction problems with frozen surrogate variable analysis
HS Parker, HC Bravo, JT Leek
PeerJ 2, e561, 2014
462014
sva: Surrogate Variable Analysis R package version 3.10. 0
JT Leek, WE Johnson, HS Parker, AE Jaffe, JD Storey
DOI 10, B9, 2014
322014
The practical effect of batch on genomic prediction
HS Parker, JT Leek
Statistical applications in genetics and molecular biology 11 (3), 2012
272012
sva: Surrogate variable analysis, 2018
JT Leek, WE Johnson, HS Parker, EJ Fertig, AE Jaffe, JD Storey, Y Zhang, ...
R package version 3 (0), 25-27, 0
22
Opinionated analysis development
H Parker
PeerJ Preprints 5, e3210v1, 2017
82017
AGA: interactive pipeline for reproducible gene expression and DNA methylation data analyses
M Considine, H Parker, Y Wei, X Xia, L Cope, M Ochs, E Fertig
F1000Research 4, 2015
32015
AGA
M Considine, H Parker, Y Wei, X Xia, L Cope, MF Ochs, E Fertig
F1000Research 4, 2015
2015
Package ‘sva’
JT Leek, WE Johnson, HS Parker, AE Jaffe, JD Storey
2014
Practical statistical issues in translational genomics
HS Parker
The Johns Hopkins University, 2013
2013
The system can't perform the operation now. Try again later.
Articles 1–11