Johann A. Gagnon-Bartsch

Author

Also Known As

Gagnon-Bartsch, Johann, Gagnon-Bartsch, Johann A., J. A. Gagnon-Bartsch, Johann A Gagnon-Bartsch, Johann A. Gagnon-Bartsch, Johann Gagnon-Bartsch, Johann Gagnon‐Bartsch

Publications

2.5K

Citations

H-Index

Concepts

All Affiliations

University of Michigan Walter and Eliza Hall Institute of Medical Research The University of Melbourne University of California, Berkeley The University of Sydney

About

Johann A. Gagnon-Bartsch is an author at University of Michigan specializing in medicine, bioinformatics, and biostatistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	551
2	Engineering	4	4	277
3	Public Health	3	3	328
4	Arts	1	1	54
5	Biochemistry	1	1	200

Johann A. Gagnon-Bartsch

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Using control genes to correct for unwanted variation in microarray data Johann A. Gagnon-Bartsch, Terence P. Speed Biostatistics	2011	502
Signatures of tumour immunity distinguish Asian and non-Asian gastric adenocarcinomas Suling J. Lin, Johann A. Gagnon-Bartsch, Iain Beehuat Tan, Gut	2014	233
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets Yingxin Lin, Shila Ghazanfar, Kevin Wang, Proceedings of the National Academy of Sciences EngineeringGeneticsPresent ScmergeMultiomicsGenomics	2019	203
Statistical Methods for Handling Unwanted Variation in Metabolomics Data Alysha De Livera, Marko Sysi‐Aho, Laurent Jacob, Analytical Chemistry Statistical MethodsBiochemistryMetabolomics ExperimentMedicineMetabolomics Experiments	2015	200
Skeletal muscle and plasma lipidomic signatures of insulin resistance and overweight/obesity in humans Katherine Tonks, Adelle C.F. Coster, Michael Christopher, Obesity	2016	178
dtangle: accurate and robust cell type deconvolution Gregory J. Hunt, Saskia Freytag, Melanie Bahlo, Bioinformatics	2018	159
A new normalization for Nanostring nCounter gene expression data Ramyar Molania, Johann A. Gagnon-Bartsch, Alexander Dobrovic, Nucleic Acids Research	2019	141
Comprehensive evaluation of deconvolution methods for human brain gene expression Gavin J Sutton, Daniel Poppe, Rebecca K. Simmons, Nature Communications	2022	136
Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed Laurent Jacob, Johann A. Gagnon-Bartsch, Terence P. Speed Biostatistics GeneticsGenomicsGene Expression ProfilingGenetic AnalysisGenotype-phenotype Association	2015	103
Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data Jovana Maksimovic, Johann A. Gagnon-Bartsch, Terence P. Speed, Nucleic Acids Research	2015	102

Page 1