Abstract
Achieving the promises of stem cell science to generate precise disease models and designer cell samples for personalized therapeutics will require harnessing pheno-genotypic cell-level data quantitatively and predictively in the lab and clinic. Those requirements could be met by developing a Big-Data-driven stem cell science strategy and community.
Original language | English |
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Pages (from-to) | 157-160 |
Number of pages | 4 |
Journal | Cell Stem Cell |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2 Feb 2017 |
Research Groups and Themes
- Jean Golding
Keywords
- Animals
- Computational Biology
- Humans
- Phenotype
- Science
- Statistics as Topic
- Stem Cells
- Tissue Engineering
- Journal Article