Félix Raimundo

The paper identifies a shared neoepitope from non-canonical c-MYC translation in cancer cells that activates T cells to kill tumors without harming normal cells.

The paper benchmarks scHPTM analysis pipelines to identify best practices for experimental design and data analysis.

This review surveys recent machine learning approaches for analyzing single-cell omics data from 2019-2020, focusing on methods for dimensionality reduction, batch normalization, cell type classification, trajectory inference, and multimodal integration.

This study benchmarks dimensionality reduction methods for scRNA-seq by varying parameters and finds that some methods benefit from tuning while others perform well with defaults.