“Regulating Insurer Use of Genetic Information” Hosted by Christina Palmer

TITLE: "AutoComplete: Deep Learning-based Phenotype Imputation" ABSTRACT: Health data has become increasingly available, vast in scale, and highly missing. For many downstream applications, the ability to accurately impute missing features in health records may tap into additional analytical power which would be unrealized otherwise. While existing imputation methods are applicable, many fall short in one […]

TITLE: "scAllele, a versatile tool for the detection and analysis of variants in scRNA-seq." ABSTRACT: Single-cell RNA sequencing (scRNA-seq) data contain rich information at the gene, transcript, and nucleotide levels. Most analyses of scRNA-seq have focused on gene expression profiles, and it remains challenging to extract nucleotide variants and isoform-specific information. Here, we present scAllele, […]