Single-cell Fusion Analysis
Single-Cell Fusion Analysis is a computational methodological framework designed to identify and characterize gene fusions at individual cell resolution within heterogeneous tumor populations, distinguishing itself from bulk-level approaches by enabling the precise attribution of fusion events to specific cellular lineages and states in the context of cancer evolution.
26
Publications
1.3K
Citations
145
Authors
53
Institutions
Publications per year
2017–2026
6
Parents
26
Patch clamp studies of single cell-fusion events mediated by a viral fusion protein
Austen Spruce, Atsushi Iwata, Judith M. White et al. · Nature · 1989 · 148 citations
Nancy P. Caraway, Jun Gu, Pei Lin et al. · Cancer · 2005 · 58 citations · Full text
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University of Arkansas for Medical Sciences, United States
1 publications · 48 citations
1
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Pennsylvania State University
State College, United States
3 h-index
14 publications
856 citations

University of Minnesota
Minneapolis, United States
2 h-index
10 publications
226 citations
National Institutes of Health
Bethesda, United States
2 h-index
7 publications
178 citations
Minneapolis Heart Institute Foundation
Minneapolis, United States
2 h-index
2 publications
46 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
3 publications
70 citations

New York Blood Center
New York, United States
1 h-index
4 publications
88 citations

Washington University in St. Louis
St Louis, United States
1 h-index
1 publications
48 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
72 citations
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2 publications · 39 citations
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JVI · 2 publications · 95 citations
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2 publications · 38 citations
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ECR · 2 publications · 84 citations
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1 publications · 36 citations
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