Calendar of Events

TITLE: "TBD" Hosted by Jingyi Jessica Li for Bioinformatics

TITLE: "A Non-Invasive Epigenetic Measure of Inflammation." ABSTRACT: Existing epigenetic phenotype tests often lack mechanistic explanations of the observed correlations between specific methylation sites and phenotypes. This raises the crucial question: are these correlations primarily a result of marginal correlations, or do they stem from plausible biological mechanisms? To delve deeper into this question, we […]

TITLE: "scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters." ABSTRACT: Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods such as t-distributed stochastic neighbor embedding(t-SNE) and uniform manifold approximation and projection (UMAP) are commonly used for visualizing cell clusters; however, it is well known […]

TITLE: "An updated movement path randomization method to distinguish social and spatial drivers of animal interactions." ABSTRACT: Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing hypotheses regarding the factors determining animal interactions often involves comparing observed interactions with reference or ’null’ models. One approach to constructing reference models that account for spatial drivers […]

TITLE: "Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch." ABSTRACT: Digital health data from consumer wearable devices and smartphones have the potential to improve our understanding of mental illness. However, in conditions like depression, there is not yet a consistent uniform measurement tool whose result can be reliably used as […]

TITLE: "ChatGPT for Clinical Informatics: what can LLMs do now for Health AI?” Hosted by William Hsu for Medical Informatics  

12pm: Emily Maciejewski (Ernst), Grad Student, Computer Science TITLE:  “Cross-species and tissue imputation of species-level DNA methylation samples” ABSTRACT: DNA methylation data is highly informative to study a variety of aspects of mammalian biology. The availability of such data for many mammals at conserved sites was recently vastly enhanced by the development and large-scale application […]