Johann Gagnon-Bartsch
Johann Gagnon-Bartsch
Assistant Professor of Statistics, University of Michigan
Verified email at - Homepage
Cited by
Cited by
Using control genes to correct for unwanted variation in microarray data
JA Gagnon-Bartsch, TP Speed
Biostatistics 13 (3), 539-552, 2012
Signatures of tumour immunity distinguish Asian and non-Asian gastric adenocarcinomas
SJ Lin, JA Gagnon-Bartsch, IB Tan, S Earle, L Ruff, K Pettinger, B Ylstra, ...
Gut 64 (11), 1721-1731, 2015
Statistical methods for handling unwanted variation in metabolomics data
AMD Livera, M Sysi-Aho, L Jacob, JA Gagnon-Bartsch, S Castillo, ...
Analytical chemistry 87 (7), 3606-3615, 2015
Skeletal muscle and plasma lipidomic signatures of insulin resistance and overweight/obesity in humans
KT Tonks, ACF Coster, MJ Christopher, R Chaudhuri, A Xu, ...
Obesity 24 (4), 908-916, 2016
Removing unwanted variation from high dimensional data with negative controls
JA Gagnon-Bartsch, L Jacob, TP Speed
Berkeley: Tech Reports from Dep Stat Univ California, 1-112, 2013
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Y Lin, S Ghazanfar, KYX Wang, JA Gagnon-Bartsch, KK Lo, X Su, ZG Han, ...
Proceedings of the National Academy of Sciences 116 (20), 9775-9784, 2019
Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed
L Jacob, JA Gagnon-Bartsch, TP Speed
Biostatistics 17 (1), 16-28, 2016
Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data
J Maksimovic, JA Gagnon-Bartsch, TP Speed, A Oshlack
Nucleic acids research 43 (16), e106-e106, 2015
Vesicular monoamine and glutamate transporters select distinct synaptic vesicle recycling pathways
B Onoa, H Li, JA Gagnon-Bartsch, LAB Elias, RH Edwards
Journal of Neuroscience 30 (23), 7917-7927, 2010
Dtangle: accurate and robust cell type deconvolution
GJ Hunt, S Freytag, M Bahlo, JA Gagnon-Bartsch
Bioinformatics 35 (12), 2093-2099, 2019
A new normalization for Nanostring nCounter gene expression data
R Molania, JA Gagnon-Bartsch, A Dobrovic, TP Speed
Nucleic acids research 47 (12), 6073-6083, 2019
Systematic noise degrades gene co-expression signals but can be corrected
S Freytag, J Gagnon-Bartsch, TP Speed, M Bahlo
BMC bioinformatics 16 (1), 1-17, 2015
The classification permutation test: A flexible approach to testing for covariate imbalance in observational studies
J Gagnon-Bartsch, Y Shem-Tov
The Annals of Applied Statistics 13 (3), 1464-1483, 2019
The loop estimator: Adjusting for covariates in randomized experiments
E Wu, JA Gagnon-Bartsch
Evaluation review 42 (4), 458-488, 2018
Social media as an alternative to surveys of opinions about the economy
FG Conrad, JA Gagnon-Bartsch, RA Ferg, MF Schober, J Pasek, E Hou
Social Science Computer Review 39 (4), 489-508, 2021
Precise unbiased estimation in randomized experiments using auxiliary observational data
JA Gagnon-Bartsch, AC Sales, E Wu, AF Botelho, JA Erickson, ...
arXiv preprint arXiv:2105.03529, 2021
Stably expressed genes in single-cell RNA sequencing
JM Deeke, JA Gagnon-Bartsch
Journal of Bioinformatics and Computational Biology 18 (01), 2040004, 2020
Derivation and external validation of a simple risk score to predict in-hospital mortality in patients hospitalized for COVID-19: A multicenter retrospective cohort study
CZ Mann, C Abshire, M Yost, S Kaatz, L Swaminathan, SA Flanders, ...
Medicine 100 (40), 2021
The role of scale in the estimation of cell-type proportions
GJ Hunt, JA Gagnon-Bartsch
The Annals of Applied Statistics 15 (1), 270-286, 2021
Automatic transformation and integration to improve visualization and discovery of latent effects in imaging data
GJ Hunt, MA Dane, JE Korkola, LM Heiser, JA Gagnon-Bartsch
Journal of Computational and Graphical Statistics 29 (4), 929-941, 2020
The system can't perform the operation now. Try again later.
Articles 1–20