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Cited by 341

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Challenges and emerging directions in single-cell analysis

Open access
Yuan, Guo-Cheng, Cai, Long, Elowitz, Michael, Enver, Tariq, Fan, Guoping, Guo, Guoji, Irizarry, Rafael, Kharchenko, Peter, Kim, Junhyong, Orkin, Stuart, Quackenbush, John, Saadatpour, Assieh, Schroeder, Timm, Shivdasani, Ramesh, Tirosh, Itay·2017·Genome Biology

Abstract

Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.

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Crossref · 10.1186/s13059-017-1218-y

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Metadata

Authors
Yuan, G.-C., Cai, L., Elowitz, M., Enver, T., Fan, G., Guo, G., Irizarry, R., Kharchenko, P., Kim, J., Orkin, S., Quackenbush, J., Saadatpour, A., Schroeder, T., Shivdasani, R., & Tirosh, I.
Venue
Genome Biology
Published
2017-05-08
Volume
18
Issue
1
Pages
84-84
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W2612758576
Cited by
341
References
94
FWCI
13.10
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Challenges and emerging directions in single-cell analysis. https://app.cochat.ai/papers/10.1186/s13059-017-1218-y
The paper
Yuan, G.-C., Cai, L., Elowitz, M., Enver, T., Fan, G., Guo, G., Irizarry, R., Kharchenko, P., Kim, J., Orkin, S., Quackenbush, J., Saadatpour, A., Schroeder, T., Shivdasani, R., & Tirosh, I. (2017). Challenges and emerging directions in single-cell analysis. Genome Biology. https://doi.org/10.1186/s13059-017-1218-y

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.