TITLE: "Supervised capacity preserving mapping: a clustering guided visualization method for scRNA-seq data." ABSTRACT: Recently, various computational methods have been developed to analyze the scRNAseq data, such as clustering and visualization. However, current visualization methods, including t-SNE and UMAP, are challenged by the limited accuracy of rendering the geometric relationship of populations with distinct functional […]

TITLE: "Statistics, Biology and Applications of Human Mutation.”

TITLE: "Electric actuation of DNA-based molecular machines.” ABSTRACT: A wide range of machine-like molecular assemblies have been generated over the past years. Most of them have been driven (or controlled) by DNA hybridization, utilization of buffer changes, or using chemical modifications such as photoswitches. A more recently explored strategy is the use of electrical fields for the manipulation of DNA devices, which enables fast […]

TITLE: “Part 1: "How important is evolution vs transmission of drug resistance". Part 2: "Computing skills for every biology student."

TITLE: “DNA Methylation in Brain Evolution and Neuropsychiatric Disorders.”

TITLE: “New perspectives to dissect global dynamics of protein interactome and gene regulation in disease.”

TITLE: "TBA"

TITLE: “Why do human germline mutation rates depend on sex and age.”

TITLE: “Stochasticity in cancer immunotherapies: identifying the T cell subset that sparks tumor eradication” ABSTRACT: We use an ex vivo model of tumor eradication to dissect the fundamental variability of clinical outcomes in cancer immunotherapies. We demonstrate that there exists an inherent stochastic variability in immune responses, based on the low abundance of hyper-responsive naïve T cells (so-called […]

TITLE: "Stochasticity in cancer immunotherapies: identifying the T cell subset that sparks tumor eradication" ABSTRACT: We use an ex vivo model of tumor eradication to dissect the fundamental variability of clinical outcomes in cancer immunotherapies. We demonstrate that there exists an inherent stochastic variability in immune responses, based on the low abundance of hyper-responsive naïve T cells (so-called Spark T cells) and feedback regulations […]