Events for January 31, 2022 - February 23, 2022

TITLE: "Decoding alarm signal propagation of seed-harvester ants, Pogonomyrmex californicus." ABSTRACT: Alarm signal propagation through social-insect colonies provides an empirically tractable context for analyzing information flow through a natural system, with useful insights for network dynamics in other social groups, including human social networks. Here, I develop a methodological approach to track alarm spread within […]

“Towards Bayesian phylogenetics via systematic search and gradient ascent” Hosted by Sriram Sankararaman

TITLE: "Restricted diet drives autism gut-microbiome associations, and other tales from the Australian Autism Biobank" ABSTRACT: The Australian Autism Biobank (AAB) is an initiative of the Autism CRC – the first national, cooperative research effort focused on autism across the lifespan. The AAB recruited a total of ~2,500 autistic children, family members, and unrelated undiagnosed […]

TITLE: "Asymmetric Branching Scale Factors as Features in Neuronal Cell-Type Classification" ABSTRACT: Neurons are connected by complex branching processes - axons and dendrites - that process information for organisms to respond to their environment. Classifying neurons according to differences in structure or function is a fundamental piece of neuroscience. In previous work, we constructed a […]

“The role of chromosome evolution in adaptation and speciation in stickleback fish” Hosted by Kirk Lohmueller

TITLE: “TBD” Hosted by Sarah Spendlove

TITLE: "Comprehensive study of gene expression outliers and their regulation mechanisms in pan-cancer." ABSTRACT: With the ultimate aim of improving the management of cancer, many groups have studied the molecular characteristics of tumors. Typically, the heterogeneity of cancer evolves rapidly to adapt to its microenvironment, helping cancer evade selective pressures and progress. These various subclones […]

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 […]