TITLE: "A lack of distinct cellular identities in scRNA-seq data: revisiting Waddington’s landscape". ABSTRACT: Single-cell RNA sequencing is revolutionizing our understanding of development, differentiation and disease. Analysis of this data is often challenging, however, […]
TITLE: "Swab-Seq: Detecting COVID-19 with Genomic Sequencing: From bench to vending machine." ABSTRACT: At UCLA we developed one of the only novel technologies for COVID-19 diagnostic testing that was deployed […]
TITLE: “Integrative systems analysis, applications, and challenges of single cell multiomics.” ABSTRACT: Recent advances in single cell multiomics technologies such as single cell RNA-seq, single cell ATAC-seq, and spatial transcriptomics […]
TITLE: "Predicting Biological Aging from Epigenetics." ABSTRACT: Epigenetics are a proven measure of cellular health. Therefore, a field of research has emerged that utilizes epigenetics to measure, treat, and potentially […]
TITLE: "Comprehensive study of gene expression outliers and their regulation mechanisms in pan-cancer." ABSTRACT: Cancer is a disease characterized by remarkable heterogeneity. Gene expression varies drastically between tumours and within […]
TITLE: "Heterogeneity in cell states: Is it important whether cell states are heritable or change rapidly?" ABSTRACT: Cells of the same cell type show molecular and phenotypic heterogeneity. Is the […]
TITLE: "scReadSim: a single-cell RNA-seq and ATAC-seq read simulator." ABSTRACT: Rapid advances of single-cell RNA-seq and ATAC-seq technologies have propelled the development of many computational tools, benchmarking of which demands […]
TITLE: "Proteogenomic characterization of the molecular determinants of prostate cancer radioresistance." ABSTRACT: Prostate Cancer (PC), the second most common cause of cancer death in men, is frequently treated using radiotherapy with […]
TITLE: "Supervised capacity preserving mapping: a clustering guided visualization method for scRNA-seq data." ABSTRACT: Recently, various computational methods have been developed to analyze the scRNAseq data, such as clustering and […]
TITLE: "Statistics, Biology and Applications of Human Mutation.”
