Additional file 3 of Machine learning-selected variables associated with CD4 T cell recovery under antiretroviral therapy in very advanced HIV infection
Additional file 4. Performance metrics for machine learning-based filtering compared to classical filtering methods on fusions detected with FusionCatcher in an independent fusion dataset of 249 TNBC
The creation of induced pluripotent stem cells (iPSCs) has enabled scientists to explore the derivation of many types of cells. While there are diverse general approaches for cell-fate engineering, on
The zip folder contains datasets and statistics generated by a 5-fold cross validation approach repeated thrice on a dataset of sera measured in a bead-based multiplex approach.
