Similarity Metrics for Biological Data: Algorithmic developments for high-dimensional datasets
Advances in experimental methods in biology have allowed researchers to gain an unprecedentedly high-resolution view of the molecular processes within cells, using so-called single-cell technologies. Every cell in the sample can be individually profiled — the amount of each type of protein or metabo...
Main Author: | Narayan, Ashwin |
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Other Authors: | Berger, Bonnie |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/145044 https://orcid.org/ 0000-0001-7024-9424 |
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