TITLE: "TBD" Hosted by William Hsu for Medical Informatics

TITLE: "Splicing-specific transcriptome-wide association uncovers novel genetic mechanisms for Schizophrenia." ABSTRACT: Recent studies have highlighted the essential role of RNA splicing, a key mechanism of alternative RNA processing, in establishing connections between […]

TITLE: "Modeling the heterogenous NFκB dynamics of single immune cells." ABSTRACT: Macrophages function as immune sentinel cells, initiating appropriate and specialized immune responses to a great variety of pathogens.  The […]

TITLE: "The new culture of preprint peer-review"

TITLE: "TBD" Hosted by Grace Xiao for Bioinformatics

TITLE: "Characterization of Genomics Landscape and Natural History of Anaplastic Thyroid Cancer using High Depth WGS and Subclonal Reconstruction." ABSTRACT: Anaplastic thyroid cancer (ATC) is among the most lethal cancer types, with a median survival rate of approximately 12 weeks. ATC is resistant to both chemo- and radiotherapy, a characteristic attributed to its surrounding tissues […]

TITLE: "scGRNdb: A Cell Type Gene Regulatory Network Atlas for Human and Mouse." ABSTRACT: Gene regulatory networks (GRNs) elucidate the complex regulatory landscape in cells and tissues, making them powerful tools for understanding mechanisms in disease pathophysiology and identifying therapeutic targets. The advent of single cell RNA-sequencing (scRNAseq) enables a more granular study of disease mechanisms […]

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 […]