Challenges and emerging directions in single-cell analysis
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Author
Yuan, Guo-Cheng
Cai, Long
Elowitz, Michael
Enver, Tariq
Fan, Guoping
Guo, Guoji
Kim, Junhyong
Orkin, Stuart
Saadatpour, Assieh
Schroeder, Timm
Shivdasani, Ramesh
Tirosh, Itay
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https://doi.org/10.1186/s13059-017-1218-yMetadata
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Yuan, G., L. Cai, M. Elowitz, T. Enver, G. Fan, G. Guo, R. Irizarry, et al. 2017. “Challenges and emerging directions in single-cell analysis.” Genome Biology 18 (1): 84. doi:10.1186/s13059-017-1218-y. http://dx.doi.org/10.1186/s13059-017-1218-y.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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421338/pdf/Terms of Use
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