Abstract: Dimensionality reduction methods are employed to decrease data dimensionality, either to enhance machine learning performance or to facilitate data visualization in two or three-dimensional ...
Head and neck cancer (HNC) is the seventh most common cancer worldwide, with a 5-year overall survival of 50–60%. Despite known survival factors, unexpected deaths underscore the need to refine ...
Feature engineering is a crucial step in the machine learning pipeline, where raw data is transformed into meaningful features that improve model performance. Feature engineering plays a significant ...
Are you frustrated with the linear assumptions of Principal Component Analysis (PCA) or losing the global structure and relationships in your data with t-SNE? Leveraging Riemannian geometry, Uniform ...
lmcinnes.umap (Run test suite run_platform_tests linux_py310) lmcinnes.umap (Run test suite run_platform_tests linux_py311) lmcinnes.umap (Run test suite run_platform ...
To understand the importance of eIF4F components, we employed computational methods on large public datasets to investigate the impact of positive selection on eIF4F dysregulation in cancer. By ...
Sometimes, in the quest for new data, scientists forget that existing datasets can be treasure troves for new discoveries. One such undermined scientific gem is transcriptomic data from the human ...
Cuba legalized same-sex marriage in September. In addition to being an advance in rights, it could also be interpreted as an act of historical justice within a regime that locked up homosexuals in its ...
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