Multi-modal Single-cell Analysis
Multi-Modal Single-Cell Analysis is a computational and experimental framework that integrates multiple molecular modalities (such as transcriptome, epigenome, and proteome) within individual cells to jointly profile gene expression and regulatory mechanisms at single-cell resolution.
52
Publications
22.1K
Citations
603
Authors
180
Institutions
Publications per year
2017–2026
51
52
Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen et al. · Cell · 2021 · 16K citations · Full text
A multimodal cell census and atlas of the mammalian primary motor cortex
Edward M. Callaway, Hong‐Wei Dong, Joseph R. Ecker et al. · Nature · 2021 · 571 citations · Full text
Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 484 citations · Full text
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180

Broad Institute
Cambridge, United States
7 h-index
68 publications
18.2K citations
Harvard University
Cambridge, United States
7 h-index
52 publications
12K citations
University of California San Diego
San Diego, United States
6 h-index
53 publications
22K citations
University of California, Berkeley
Berkeley, United States
6 h-index
40 publications
15.1K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
6 h-index
11 publications
1.8K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
5 publications
413 citations
New York Genome Center
New York, United States
5 h-index
39 publications
155K citations

Howard Hughes Medical Institute
Chevy Chase, United States
5 h-index
16 publications
5.7K citations
1–8 of 180
Repository · 13 publications · 914 citations
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6 publications · 423 citations
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5 publications · 1.3K citations
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5 publications · 1.6K citations
5
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2 publications · 659 citations
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