Utilizing unlabeled data in cell type identification : A semi-supervised learning approach to classification
Recent research in bioinformatics has presented multiple cell type identification meth- dologies using single cell RNA sequence data (scRNA-seq). However, a consensus on which cell typing methodology consistently demonstrates superior performance remains absent. Additionally, very few studies approa...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik och maskininlärning
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165996 |