Interactive Single-cell Data Exploration
Interactive Single-Cell Data Exploration is a computational framework that enables real-time, user-guided visualization and analysis of single-cell genomic data to facilitate dynamic hypothesis generation and biological insight discovery.
65
Publications
5.4K
Citations
372
Authors
150
Institutions
Publications per year
2017–2026
55
Parents
65
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Ruben Dries, Qian Zhu, Rui Dong et al. · Genome biology · 2021 · 950 citations · Full text
ShinyCell: simple and sharable visualization of single-cell gene expression data
John F. Ouyang, Uma S. Kamaraj, Elaine Yiqun Cao et al. · Bioinformatics · 2021 · 284 citations
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150

Broad Institute
Cambridge, United States
10 h-index
44 publications
6.2K citations
Harvard University
Cambridge, United States
8 h-index
35 publications
11.1K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
14 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
12 publications
2.3K citations

Leiden University Medical Center
Leiden, The Netherlands
3 h-index
16 publications
1.5K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
14 publications
892 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
3 h-index
16 publications
434 citations

University of Tübingen
Tübingen, Germany
3 h-index
6 publications
255 citations
1–8 of 150
Repository · 16 publications · 410 citations
12
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10 publications · 1.5K citations
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7 publications · 476 citations
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3 publications · 615 citations
3
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3 publications · 1K citations
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