Unsupervised clustering algorithms for flow/mass cytometry data
This Final Year Project report documents the process of using dimension reduction and unsupervised clustering methods for clustering similar group of cells and to automate the discovery of cell populations from data sets generated from mass cytometry. Also, it documents the process of developing a w...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/65605 |
