Johnson, W. Evan

Adjusting batch effects in microarray expression data using empirical Bayes methods

Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 8,658

The <tt>sva</tt> package for removing batch effects and other unwanted variation in high-throughput experiments

Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics

Gene expression and cancer classificationSingle-cell and spatial transcriptomics

Cited by 6,231

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

Leek, J. T., Scharpf, R. B., Bravo, H. C., Simcha, D., Langmead, B., Johnson, W. E., Geman, D., Baggerly, K., & Irizarry, R. A. (2010) · Nature Reviews Genetics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 2,196

ComBat-seq: batch effect adjustment for RNA-seq count data

Zhang, Y., Parmigiani, G., & Johnson, W. E. (2020) · NAR Genomics and Bioinformatics

Gene expression and cancer classificationSingle-cell and spatial transcriptomics

Cited by 1,566

Decontamination of ambient RNA in single-cell RNA-seq with DecontX

Yang, S., Corbett, S. E., Koga, Y., Wang, Z., Johnson, W. E., Yajima, M., & Campbell, J. D. (2020) · Genome Biology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 635

DNA Specificity Determinants Associate with Distinct Transcription Factor Functions

Hollenhorst, P. C., Chandler, K. J., Poulsen, R. L., Johnson, W. E., Speck, N. A., & Graves, B. J. (2009) · PLoS Genetics

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 198

Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data

Hong, R., Koga, Y., Bandyadka, S., Leshchyk, A., Wang, Y., Akavoor, V., Cao, X., Sarfraz, I., Wang, Z., Alabdullatif, S., et al. (2022) · Nature Communications

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 82

Cytoplasmic FMR1-Interacting Protein 2 Is a Major Genetic Factor Underlying Binge Eating

Kirkpatrick, S. L., Goldberg, L. R., Yazdani, N., Babbs, R. K., Wu, J., Reed, E. R., Jenkins, D. F., Bolgioni, A. F., Landaverde, K. I., Luttik, K. P., et al. (2017) · Biological Psychiatry

Eating Disorders and BehaviorsRegulation of Appetite and Obesity

Cited by 71

ETS-4 Is a Transcriptional Regulator of Life Span in Caenorhabditis elegans

Thyagarajan, B., Blaszczak, A. G., Chandler, K. J., Watts, J. L., Johnson, W. E., & Graves, B. J. (2010) · PLoS Genetics

Genetics, Aging, and Longevity in Model OrganismsNeurobiology and Insect Physiology Research

Cited by 51

ICAT: a novel algorithm to robustly identify cell states following perturbations in single-cell transcriptomes

Hawkins, D. Y., Zuch, D. T., Huth, J., Rodriguez-Sastre, N., McCutcheon, K. R., Glick, A., Lion, A. T., Thomas, C. F., Descoteaux, A. E., Johnson, W. E., et al. (2023) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 10