Sentence examples for evolutionary graph from inspiring English sources
Andreas Pavlogiannis et al. present an approach for constructing strong amplifiers of natural selection using evolutionary graph theory.
Description: Introduces basic concepts of mathematical biology and evolutionary dynamics: evolution of genomes, quasi-species, finite and infinite population dynamics, chaos, game dynamics, evolution of cooperation and language, spatial models, evolutionary graph theory, infection dynamics, somatic evolution of cancer.
His book presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner's Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos.
The authors report that the mutation sequences indicated in the resulting evolutionary graph are consistent with earlier findings, including previous work in the Rabadan Lab that determined that mutations in the gene TP53 are relatively rare early in the course of disease, but multiply in great numbers in patients who develop chemotherapy-resistant CLL.
Motivated from the initial success of these algorithms [3] – as well as their widespread use in other scientific fields – we have preciously introduced MEGA, a Multi-objective Evolutionary Graph Algorithm with the aim of performing de novo design taking into account numerous pharmaceutically relevant objectives.
Lieberman Aiden contributed to the founding of evolutionary graph theory along with his PhD supervisor Martin Nowak.
Data scientists are faced with the challenge of analyzing large-scale graphs that are changing dynamically, while existing tools and metaphors for data collection, processing, storage, and analysis are not suitable for handling large-scale evolutionary graphs.
Using network deconvolution, they then generate a tumor evolutionary directed graph that provides a general model for the sequence of mutations.
Tumor Evolutionary Directed Graph (TEDG) framework.
(B ) Tumor Evolutionary Directed Graph of 32 specific mutations.
Univariate IE analyses of individual PC scores can be mapped to show the morphological changes through time along individual branches of the phylogeny, producing an evolutionary morphospace graph.
