Events for July 24, 2023 - March 17, 2023

TITLE: "Massive parallelization of massive sample-size survival analysis." ABSTRACT: Large-scale observational health databases are increasingly popular for conducting comparative effectiveness and safety studies of medical products. However, increasing number of patients poses computational challenges when fitting survival regression models in such studies. In this paper, we use graphics processing units (GPUs) to parallelize the computational bottlenecks of […]

TITLE: "Climate change and maize response to pollutants: gene content, expression and regulation." Hosted by Kirk Lohmueller.

TITLE: "Phenotypic consequences of gene expression variability." ABSTRACT: The central dogma of biology proposes that information flows from genes to RNA to protein, determining protein identity and abundance. Single cell transcriptome measurements provide ample information about RNA abundance in cells. While the expression of individual genes clearly matters for determining phenotype, they do not work […]

TITLE: "scDesign3: an all-in-one statistical framework that generates realistic single-cell omics data and infers cell heterogeneity structure." ABSTRACT: The generation of realistic synthetic data is essential for benchmarking numerous computation tools developed for single-cell omics data. Here we propose an all-in-one statistical framework that generates single-cell omics data from various cell heterogeneity structures, including discrete cell […]

TITLE: "Deriving network parameters for understanding drug effects.” Hosted by Jason Ernst.

TITLE: “The new forensic genetics: 'long-range' search and genetic privacy.” Hosted by Nandita Garud.

TITLE: "P-value-free solution to fix exaggerated false positives by popular differential expression methods." ABSTRACT: We report a surprising phenomenon that popular bioinformatics methods for identifying differentially expressed genes (DEG) between two conditions have unexpectedly high false discovery rates (FDRs) on large-sample-size RNA-seq datasets. Failed FDR control is likely due to the invalid p-values which rely on […]

TITLE: "Cellular plasticity in Cancer." Hosted by Jason Ernst.