Graphical models | Extensions and generalizations of graphs

Ancestral graph

In statistics and Markov modeling, an ancestral graph is a type of mixed graph to provide a graphical representation for the result of marginalizing one or more vertices in a graphical model that takes the form of a directed acyclic graph. (Wikipedia).

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Given a Rooted Tree, Determine Relationships

This video analyzes the relationships of vertices in a rooted tree. mathispower4u.com

From playlist Graph Theory (Discrete Math)

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Tree Graphs - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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intro to graph databases

this a brief high-level overview of graph databases using only an ipad. in this video we discuss what a graph database is and how it differs from relational databases. this also looks at high level use cases.

From playlist graph databases

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Finding Bridge Edges - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Graph Neural Networks, Session 2: Graph Definition

Types of Graphs Common data structures for storing graphs

From playlist Graph Neural Networks (Hands-on)

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Alison Etheridge: Spatial population models (3/4)

Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev

From playlist Summer School on Stochastic modelling in the life sciences

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Veronica Miro Pina - Chromosome painting

We consider a simple population genetics model with recombination. We assume that at time 0, all individuals of a haploid population have their unique chromosome painted in a distinct color. At rare birth events, due to recombination (modeled as a single crossing-over), the chromosome of t

From playlist Les probabilités de demain 2017

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Pavel Avdeyev: "Genome Rearrangements and Reconstruction of Ancestral Genomes"

Computational Genomics Summer Institute 2016 "Genome Rearrangements and Reconstruction of Ancestral Genomes" Pavel Avdeyev, George Washington University Institute for Pure and Applied Mathematics, UCLA July 29, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.

From playlist Computational Genomics Summer Institute 2016

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Sohini Ramachandran: "Genomic Reconstructions of Deep Human History"

Computational Genomics Summer Institute 2016 "Genomic Reconstructions of Deep Human History" Sohini Ramachandran, Brown University Institute for Pure and Applied Mathematics, UCLA July 19, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/

From playlist Computational Genomics Summer Institute 2016

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Graph Neural Networks, Session 1: Introduction to Graphs

Examples of Graph representation of data Motivation for doing machine learning on Graphs

From playlist Graph Neural Networks (Hands-on)

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Lecture16. Knowledge graphs

Network Science 2021 @ HSE

From playlist Network Science, 2021

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Alison Etheridge: Spatial population models (1/4)

Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev

From playlist Summer School on Stochastic modelling in the life sciences

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Alison Etheridge: Spatial population models (2/4)

Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev

From playlist Summer School on Stochastic modelling in the life sciences

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Conservation Genomics by Nancy Chen

PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn

From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022

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What are the key points to trigonometric graphs

👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu

From playlist How to Graph Trigonometric Functions

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Hiroshi Akashi - Codon usage bias in Drosophila: Population genetics and comparative genomics of

PROGRAM: School and Discussion Meeting on Population Genetics and Evolution PROGRAM LINK: http://www.icts.res.in/program/PGE2014 DATES: Saturday 15 Feb, 2014 - Monday 24 Feb, 2014 VENUE: Physics Auditorium, IISc, Bangalore Just as evolution is central to our understanding of biology, p

From playlist School and Discussion Meeting on Population Genetics and Evolution

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Molecular Archaeology: Using Genomes to Reconstruct Two Billion Years by Mukund Thattai

ICTS at Ten ORGANIZERS: Rajesh Gopakumar and Spenta R. Wadia DATE: 04 January 2018 to 06 January 2018 VENUE: International Centre for Theoretical Sciences, Bengaluru This is the tenth year of ICTS-TIFR since it came into existence on 2nd August 2007. ICTS has now grown to have more tha

From playlist ICTS at Ten

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Randomly Generated Graphs - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Modelling Genes

Oxford Mathematics Public Lectures: Alison Etheridge - Modelling Genes How can we explain the patterns of genetic variation in the world around us? The genetic composition of a population can be changed by natural selection, mutation, mating, and other genetic, ecological and evolutionary

From playlist Oxford Mathematics Public Lectures

Related pages

Mixed graph | Directed acyclic graph | Graphical model | Markov model | Statistics