Common methods for phylogenetic tree construction and their implementation in R
Y Zou, Z Zhang, Y Zeng, H Hu, Y Hao, S Huang, B Li - Bioengineering, 2024 - mdpi.com
A phylogenetic tree can reflect the evolutionary relationships between species or gene
families, and they play a critical role in modern biological research. In this review, we …
families, and they play a critical role in modern biological research. In this review, we …
A review of artificial intelligence based biological-tree construction: priorities, methods, applications and trends
Biological tree analysis serves as a pivotal tool in uncovering the evolutionary and
differentiation relationships among organisms, genes, and cells. Its applications span …
differentiation relationships among organisms, genes, and cells. Its applications span …
Generation of accurate, expandable phylogenomic trees with uDance
Phylogenetic trees provide a framework for organizing evolutionary histories across the tree
of life and aid downstream comparative analyses such as metagenomic identification …
of life and aid downstream comparative analyses such as metagenomic identification …
Learnable topological features for phylogenetic inference via graph neural networks
C Zhang - Ar**v, 2023 - pmc.ncbi.nlm.nih.gov
Structural information of phylogenetic tree topologies plays an important role in phylogenetic
inference. However, finding appropriate topological structures for specific phylogenetic …
inference. However, finding appropriate topological structures for specific phylogenetic …
Scaling DEPP phylogenetic placement to ultra-large reference trees: a tree-aware ensemble approach
Motivation Phylogenetic placement of a query sequence on a backbone tree is increasingly
used across biomedical sciences to identify the content of a sample from its DNA content …
used across biomedical sciences to identify the content of a sample from its DNA content …
Principal component analysis in space forms
Principal Component Analysis (PCA) is a workhorse of modern data science. While PCA
assumes the data conforms to Euclidean geometry, for specific data types, such as …
assumes the data conforms to Euclidean geometry, for specific data types, such as …
Non‐linear phylogenetic regression using regularised kernels
Phylogenetic regression is a type of generalised least squares (GLS) method that
incorporates a modelled covariance matrix based on the evolutionary relationships between …
incorporates a modelled covariance matrix based on the evolutionary relationships between …
Federated classification in hyperbolic spaces via secure aggregation of convex hulls
Hierarchical and tree-like data sets arise in many applications, including language
processing, graph data mining, phylogeny and genomics. It is known that tree-like data …
processing, graph data mining, phylogeny and genomics. It is known that tree-like data …
Variational Bayesian phylogenies through matrix representation of tree space
RR Bouckaert - PeerJ, 2024 - peerj.com
In this article, we study the distance matrix as a representation of a phylogeny by way of
hierarchical clustering. By defining a multivariate normal distribution on (a subset of) the …
hierarchical clustering. By defining a multivariate normal distribution on (a subset of) the …
Fast hyperboloid decision tree algorithms
Hyperbolic geometry is gaining traction in machine learning for its effectiveness at capturing
hierarchical structures in real-world data. Hyperbolic spaces, where neighborhoods grow …
hierarchical structures in real-world data. Hyperbolic spaces, where neighborhoods grow …