Abstract
Single cell transcriptomics (SCT) reveals cellular patterns that are masked and hidden in bulk RNA experiments. We analyzed 100 human SCT data sets for summary patterns that quantify gene expression per individual cell as well as per gene. Peripheral Blood Mononuclear Cells (PBMCs) show patterns different to those of cancer cell lines, stem cells, embryonic stem cells and other cell types. The results indicate that classification methods based on overall properties of SCT data sets provide a useful first step for classification of cell types and subtypes.
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
Editors | Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1435-1438 |
Number of pages | 4 |
ISBN (Electronic) | 9781538654880 |
DOIs | |
Publication status | Published - 21 Jan 2019 |
Event | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain Duration: 3 Dec 2018 → 6 Dec 2018 |
Publication series
Name | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
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Conference
Conference | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
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Country/Territory | Spain |
City | Madrid |
Period | 3/12/18 → 6/12/18 |
Keywords
- PBMC
- comparative analysis
- scRNAseq
- single cell transcriptomics
- transcriptomics signatures
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
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Xu, J., Shaikh, R. A., & Brusic, V. (2019). Single Cell Transcriptomics Reveals Summary Patterns Specific for PBMCs and Other Cell Types. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 1435-1438). Article 8621396 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621396