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2013 1
2015 1
2016 1
2021 0
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Wrangling phosphoproteomic data to elucidate cancer signaling pathways.
Grimes ML, Lee WJ, van der Maaten L, Shannon P. Grimes ML, et al. Among authors: van der maaten l. PLoS One. 2013;8(1):e52884. doi: 10.1371/journal.pone.0052884. Epub 2013 Jan 3. PLoS One. 2013. PMID: 23300999 Free PMC article.
The quality of the clusterings and visualizations were evaluated internally based on the primary data and externally based on gene ontology and protein interaction networks. The results show that t-distributed stochastic neighbor embedding (t-SNE
The quality of the clusterings and visualizations were evaluated internally based on the primary data and externally based on …
Categorical Analysis of Human T Cell Heterogeneity with One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding.
Cheng Y, Wong MT, van der Maaten L, Newell EW. Cheng Y, et al. Among authors: van der maaten l. J Immunol. 2016 Jan 15;196(2):924-32. doi: 10.4049/jimmunol.1501928. Epub 2015 Dec 14. J Immunol. 2016. PMID: 26667171 Free PMC article.
In this article, we present one-dimensional soli-expression by nonlinear stochastic embedding (One-SENSE), a dimensionality reduction method based on the t-distributed stochastic neighbor embedding (t-SNE) algorithm, for categorical analysis of mass cytometry …
In this article, we present one-dimensional soli-expression by nonlinear stochastic embedding (One-SENSE), a dimensionality reduction method …