Homology of the Real Toric Varieties Associated with the Weyl Group of Types E7 and E8
Explore the homology of real toric varieties linked to E_7 and E_8 Weyl groups in this advanced mathematical talk by Seonghyeon Yu from Ajou University.
Nondimensionalization and Biochemical Reaction Networks in Mathematical Oncology
Explore nondimensionalization and biochemical reaction networks in mathematical oncology, enhancing your understanding of complex biological systems and their analysis.
The Hallmarks of Cancer - A Mathematical Perspective
Explore mathematical perspectives on cancer hallmarks, including proliferation, growth suppression, cell death, and metastasis, through differential equations and modeling techniques.
Life Through the Keyhole of Mathematics
Explore how mathematics illuminates our understanding of life, offering unique perspectives on biological processes and evolutionary patterns.
TQFTs and the Renaissance of the Algebraic Topology of Manifolds
Explore the resurgence of algebraic topology in manifold studies, focusing on Topological Quantum Field Theories and their impact on modern mathematical research.
Modelling the Erosion of Epigenetic Landscapes in Cancer and Ageing
Explore mathematical models of epigenetic landscapes in cancer and aging, focusing on erosion processes and their implications for disease progression and cellular behavior.
Progress and Next Steps in Agent-Based Modeling of the Hallmarks of Cancer
Explore advancements in agent-based modeling for cancer research, examining current progress and future directions in simulating cancer hallmarks and their interactions.
Mathematical Modelling of MGMT Dynamics in Glioblastoma - Influence of Methylation Status and Phenotypic Selection in Cell Death Resistance
Explore MGMT dynamics in glioblastoma through mathematical modeling, examining methylation status and phenotypic selection in cell death resistance.
Mathematical Modelling of Microtube-Driven Regrowth of Glioma After Local Resection
Explore mathematical modeling of glioma regrowth post-resection, focusing on microtube-driven mechanisms and their impact on tumor recurrence and treatment strategies.
An Invitation to Graph Braid Groups
Explore graph braid groups, from basic concepts to advanced topics like homology and polynomial growth, with insights on various graph types and their properties.
The Key Equation Behind Probability - Entropy, Cross-Entropy, and KL Divergence
Explore probability theory fundamentals, from surprise to entropy, cross-entropy, and KL divergence. Learn key concepts applicable to neuroscience and machine learning.
Topology and Dynamics of Higher-Order Networks - Lecture 1: General Introduction to Algebraic Topology on Networks and Simplicial Complexes
Explore algebraic topology in networks and simplicial complexes, focusing on homology and boundary operators. Gain insights into higher-order network structures and their impact on complex systems.
Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 2
Explore nonlinear dynamics of neuronal models and their application to bird song dynamics, focusing on advanced concepts and real-world examples.
Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 1
Explore nonlinear dynamics in neuronal models, focusing on bird song dynamics. Gain insights into complex neuroscience concepts and their applications.
Latent Multimodal Functional Graphical Model Estimation
Explore latent graphical model estimation for multimodal functional data, focusing on brain connectivity analysis using simultaneous imaging techniques.
Numerical Approaches to Modelling Curved Surfaces
Explore numerical methods for modeling curved surfaces, focusing on applications in physics and biology.
Nutrients by the Numbers - Statistical Analysis of Food and Nutrient Data
Explore statistical analysis of food and nutrient data relationships, visualize distributions through informative plots and histograms with Gay Wilson.
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.
Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming
Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.
Topological Perspectives on Networks
Explore algebraic topology tools for network analysis, focusing on their application in neuroscience to understand structure-function relationships.
Topological Perspectives on Networks
Explore algebraic topology tools for network analysis, focusing on their application in neuroscience to understand structure-function relationships.