TITLE: "A simple, two-step, multivalent binding model predicts IL-2 mutein cell signaling profiles." ABSTRACT: The common γ-chain cytokines are promising immune therapies, but have been limited in their efficacy due to their induction of non-specific immune activation. Here, we visualized immune cell response to both mono- and multivalent γ-chain muteins using a structured dimensionality reduction scheme. We then used a simple multivalent binding model to predict cell type-specific signaling with high accuracy. Finally, we use this model to generate guidelines for…

Associate Dean for the Humanities, University of Michigan-Ann Arbor “TBD: History of genetic counseling” Hosted by Christina Palmer

TITLE: "Sources of zeros in single-cell RNA-seq data and how they affect data analysis." ABSTRACT: Single-cell RNA sequencing (scRNA-seq) technologies have revolutionized biomedical sciences by enabling genome-wide profiling of gene expression levels at an unprecedented single-cell resolution. A distinct characteristic of scRNA-seq data is the vast proportion of zeros unseen in bulk RNA-seq data. Researchers view these zeros differently: some regard zeros as biological signals representing no or low gene expression, while others regard zeros as false signals or missing…

TITLE: "Advancing admixture graph estimation via maximum likelihood network orientation." ABSTRACT: Admixture, the interbreeding between previously distinct populations, is a pervasive force in evolution. The evolutionary history of populations in the presence of admixture can be modeled by augmenting phylogenetic trees with additional nodes that represent admixture events. However, these admixture graphs present formidable inferential challenges. Exhaustively evaluating all admixture graphs can be prohibitively expensive, so heuristics have been developed to enable efficient search. One heuristic, implemented in the popular method TreeMix, consists of…