Detalle de: Delineating biological and technical variance in single cell expression data
| Title | Delineating biological and technical variance in single cell expression data |
| Abstract |
Single cell transcriptomics is becoming a common technique to unravel new biological phenomena whose functional significance can only be understood in the light of differences in gene expression between single cells. The technology is still in its early days and therefore suffers from many technical challenges. This review discusses the continuous effort to identify and systematically characterise various sources of technical variability in single cell expression data and the need to further develop experimental and computational tools and resources to help deal with it. |
| Apa Reference | Arzalluz-Luque, Á., Devailly, G., Mantsoki, A., & Joshi, A. (2017). Delineating biological and technical variance in single cell expression data. The International Journal of Biochemistry & Cell Biology, 90, 161–166. 10.1016/j.biocel.2017.07.006 |
| Doi | 10.1016/j.biocel.2017.07.006 |
| Publication Date | Sep 2017 |
| Publication Type | Article |
| Researcher | Ángeles Arzalluz Luque |
| Ontology | Transcriptomics, Expression Profiling, Single-cell omics |
| Research Groups | Development, Wiring and Function of Cerebellar Circuits |
| Tools |
