Single-cell Isoform Expression Analysis
Single-Cell Isoform Expression Analysis is a computational and experimental framework that characterizes the repertoire and abundance of alternatively spliced mRNA isoforms at the resolution of individual cells, enabling the study of isoform-level gene expression heterogeneity within complex tissues.
45
Publications
5.3K
Citations
368
Authors
144
Institutions
Publications per year
2017–2026
35
Parents
45
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Alex K. Shalek, Rahul Satija, Xian Adiconis et al. · Nature · 2013 · 1.3K citations · Full text
Stochastic yet biased expression of multiple Dscam splice variants by individual cells
Guilherme Neves, Jacob Zucker, Mark J. Daly et al. · Nature Genetics · 2004 · 268 citations · Full text
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University of California, Santa Cruz, United States
3 publications · 529 citations
3
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144

Cornell University
Ithaca, United States
6 h-index
37 publications
6.3K citations

Howard Hughes Medical Institute
Chevy Chase, United States
5 h-index
5 publications
1.8K citations
MIND Research Institute
Irvine, United States
5 h-index
33 publications
5.8K citations
University of California, Santa Cruz
Santa Cruz, United States
5 h-index
24 publications
4.9K citations
Weill Cornell Medicine
New York, United States
5 h-index
33 publications
5.8K citations
Rockefeller University
New York, United States
4 h-index
13 publications
2.1K citations
Stanford University
Stanford, United States
4 h-index
11 publications
2.2K citations

Karolinska Institutet
Stockholm, Sweden
4 h-index
15 publications
6K citations
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5 publications · 126 citations
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4 publications · 757 citations
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3 publications · 171 citations
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Repository · 3 publications · 67 citations
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2 publications · 1.4K citations
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