Welch, Joshua D.
University of Michigan
11 papers on CoChatORCID 0000-0002-5869-2391
Most cited papers
- Verified
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
Rodriques, S. G., Stickels, R. R., Goeva, A., Martin, C. A., Murray, E., Vanderburg, C. R., Welch, J., Chen, L. M., Chen, F., & Macosko, E. Z. (2019) · Science
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 2,424
- Verified
Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
Welch, J. D., Kozareva, V., Ferreira, A., Vanderburg, C., Martin, C., & Macosko, E. Z. (2019) · Cell
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 1,193
- Verified
A multimodal cell census and atlas of the mammalian primary motor cortex
BRAIN Initiative Cell Census Network (BICCN), BRAIN Initiative Cell Census Network (BICCN) Corresponding authors, Callaway, E. M., Dong, H.-W., Ecker, J. R., Hawrylycz, M. J., Huang, Z. J., Lein, E. S., Ngai, J., Osten, P., et al. (2021) · Nature
Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics
Cited by 522
- Verified
A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex
Yao, Z., Liu, H., Xie, F., Fischer, S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Bartlett, A., Behrens, M. M., Van den Berge, K., et al. (2021) · Nature
Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics
Cited by 398
- Verified
An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types
Yao, Z., Liu, H., Xie, F., Fischer, S., Booeshaghi, A. S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Pinto-Duarte, A., Bartlett, A., et al. (2020) · Nature
Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics
Cited by 397
- Verified
MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics
Welch, J. D., Hartemink, A. J., & Prins, J. F. (2017) · Genome Biology
Single-cell and spatial transcriptomicsEpigenetics and DNA Methylation
Cited by 140
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Multi-omic single-cell velocity models epigenome–transcriptome interactions and improves cell fate prediction
Li, C., Virgilio, M. C., Collins, K. L., & Welch, J. D. (2023) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 130
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PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations
Yu, H., & Welch, J. D. (2022) · Molecular Systems Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 57
- Verified
PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations
Yu, H., Qian, W., Song, Y., & Welch, J. D. (2025) · Molecular Systems Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 57
- Verified
MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks
Yu, H., & Welch, J. D. (2021) · Genome Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 38
- Verified
HIV-1 Vpr combats the PU.1-driven antiviral response in primary human macrophages
Virgilio, M. C., Ramnani, B., Chen, T., Disbennett, W. M., Lubow, J., Welch, J. D., & Collins, K. L. (2024) · Nature Communications
HIV Research and Treatmentinterferon and immune responses
Cited by 14
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