Seeing the Forest from the Trees
Explore stochastic processes in evolutionary biology through Simon Myers' insightful conference talk on seeing the forest from the trees.
Tree Learning: Optimal Algorithms and Sample Complexity - Hierarchical Clustering and PAC Learning
Explore optimal algorithms and sample complexity for learning hierarchical tree representations from labeled data, covering PAC learning, online learning, and efficient tree classifier construction.
Wandering Through Sequence Space
Explore protein sequence space and its implications for evolution, structure, and function with insights from statistical physics and machine learning.
Inferring Phylogeny and Function from Different Sequence Spaces
Explore phylogeny and function inference using diverse sequence spaces, led by Alessandra Carbone from CNRS and Sorbonne Université.
Patterns, Processes, Correlations, and Causality: What is Behind Species and Phenotypic Diversification in Vertebrates?
Explore patterns and processes behind vertebrate species diversification, examining correlations and causality in phenotypic evolution over 1.5 hours.
Bi-directional Lessons Between Traditional Evolutionary Biology and Cancer
Explore evolutionary biology's impact on cancer research and vice versa, uncovering insights that bridge these interconnected fields.
Evolution in Machine Learning and Computational Biology - Lecture 21
Dive into computational approaches for studying evolutionary biology, exploring genomic patterns, molecular evolution, and machine learning applications in evolutionary analysis.
Comparative Genomics - Lecture 20
Explore comparative genomics principles and methodologies for analyzing DNA sequences across species to understand evolutionary patterns and functional elements.