Global ETD Search

Towards a Common Dimensionality Reduction Approach; Unifying PCA, tSNE, and UMAP through a Cohesive Framework

Draganov, Andrew

gmu

Resolving Cell Fate: Experimental, computational and mathematical methods in single cell transcriptomic analysis

Jawaid, WajidUniversity of Cambridge2019

… assay. By developing a novel adaptation to tSNE dimensionality reduction that now allows new data points to be mapped backed to previously calculated embeddings, the FLK1+ data set became a reference to which cells from other experiments were mapped. The Tal1-/- knockout mutant was …

cambridge Repository record for Resolving Cell Fate: Experimental, computational and mathematical methods in single cell transcriptomic analysis (opens in a new tab)

Early prediction of pregnancy disorders with machine learning guided Raman spectroscopy, and metabolomics.

Synan, Lilly CIowa State University2022

… pregnancies. T-stochastic neighbor embedding (tSNE) is a machine learning technique that was used show visual separation of both disorders, while partial least squares-discriminant analysis (PLS-DA) was also applied to GDM data to explore potential for predictive modeling. AUC-Roc analysis …

iastate Repository record for Early prediction of pregnancy disorders with machine learning guided Raman spectroscopy, and metabolomics. (opens in a new tab)