Special Mini-Issue: Quantitative methods to decipher cellular heterogeneity – from single-cell to spatial omic methods
Author:
Funder
Innovation and Technology Commission - Hong Kong
The HS Chau Foundation
Publisher
Springer Science and Business Media LLC
Subject
Molecular Biology,Structural Biology,Biophysics
Link
https://link.springer.com/content/pdf/10.1007/s12551-024-01180-y.pdf
Reference8 articles.
1. Camunas-Soler J (2023) Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, Ca2+ imaging and electrophysiology. Biophys Rev. https://doi.org/10.1007/s12551-023-01174-2
2. Goh WSS, Kuang Y (2023) Heterogeneity of chemical modifications on RNA. Biophys Rev. https://doi.org/10.1007/s12551-023-01128-8
3. Hosokawa M, Nishikawa Y (2023) Tools for microbial single-cell genomics for obtaining uncultured microbial genomes. Biophys Rev. https://doi.org/10.1007/s12551-023-01124-y
4. Liao Y (2024) Emerging tools for uncovering genetic and transcriptomic heterogeneities in bacteria. Biophys Rev. https://doi.org/10.1007/s12551-023-01178-y
5. Mihai IS, Chafle S, Henriksson J (2023) Representing and extracting knowledge from single-cell data. Biophys Rev. https://doi.org/10.1007/s12551-023-01091-4
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