Computational Systems Biology
Explore computational approaches to model and analyze biological systems, from network biology to dynamic modeling, with hands-on labs using MATLAB and other tools.
GRN-Guided Simulation of Single-Cell RNA-Seq and Primer on Causal GANs
Explore GRouNdGAN for simulating single-cell RNA-seq data and learn about CausalGANs for gene regulatory network analysis and in-silico perturbation experiments.
Systematic Characterization of Gene Regulatory Networks Rewiring Patterns Mediated by Non-Coding Regions
Explore gene regulatory network rewiring patterns through innovative experimental methods and computational approaches for characterizing effects of perturbations at single-cell level.
Identifiability of Causal Models and Applications to Perturb-Seq Data
Explore causal model identifiability, structure learning, and applications to Perturb-seq data. Delve into interventions, latent variables, and causal disentanglement for advancing AI in drug discovery.
Mathematics of Stem Cells: Mechanistic Mathematical Modelling vs Single Cell Data Analysis
Explore mathematical approaches to stem cell research, comparing mechanistic modeling with single cell data analysis techniques.
The Cell Programming Revolution – With Mark Kotter
Neurosurgeon Mark Kotter explores breakthroughs in cell therapy, discussing genetic reprogramming, its potential to revolutionize medicine, and the collaborative effort needed across scientific disciplines to unlock cellular "operating systems."
Illuminating Biology at the Nanoscale with Single-Molecule and Super-Resolution Fluorescence Microscopy
Explore super-resolution fluorescence microscopy techniques like STORM and MERFISH, enabling nanoscale imaging of cellular structures and RNA quantification for groundbreaking biological discoveries.
Boolean Modeling of Biological Networks - Lecture 1
Explore Boolean modeling for biological networks, focusing on cancer progression. Learn theoretical approaches to understand complex biological systems and their applications in cancer research.
Gene Regulatory Network Structure and Perturbation Effects Distribution - Simulation and Analysis
Explore gene regulatory network structure and its impact on perturbation effects. Gain insights into simulating and modeling GRNs for improved understanding of gene expression regulation.
Gene Regulatory Networks and Individual-Specific Regulatory Disruptions
Explore gene regulatory networks and individual-specific disruptions, focusing on disease-associated genetic variants and their impact on transcription factor binding and gene expression.
Genomics and Transcriptomics of Heart Disease
Explore genomics and transcriptomics in heart disease, focusing on regulatory elements, SNPs, and gene networks to enhance understanding of cardiovascular pathogenesis and therapy.
Using Gene Regulatory Networks to Understand Sex Differences
Explore gene regulatory networks and their role in understanding sex differences in health and disease through genomics and systems biology approaches.
Gene-Regulatory Networks Viewed Through Statistical Mechanical Glasses
Explore statistical mechanics principles applied to gene-regulatory networks, examining their complex interactions and regulatory mechanisms through a physics-based analytical framework.
Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets
Explore gene regulatory network inference techniques using bulk and single-cell omic datasets. Learn about integrative approaches, predictive models, and applications in cellular reprogramming and single-cell genomics.