4 papers
Matrix representations and distance metrics for unlabeled ranked phylogenetic networks
Jiayang Wang, Julia A. Palacios, Claudia SolÃs-Lemus
Phylogenetic networks are graphs inferred from molecular sequence data that represent ancestral histories shaped by reticulate processes such as recombination, hybridization, and h…
BioKlustering: a web app for semi-supervised learning of maximally imbalanced genomic data
Samuel Ozminkowski, Yuke Wu, Hailey Bruzzone +6
Summary: Accurate phenotype prediction from genomic sequences is a highly coveted task in biological and medical research. While machine-learning holds the key to accurate predicti…
CMiNet: R package for learning the Consensus Microbiome Network
Rosa Aghdam, Claudia Solis-Lemus
Understanding complex interactions within microbiomes is essential for exploring their roles in health and disease. However, constructing reliable microbiome networks often poses a…
Unsupervised Learning of Phylogenetic Trees via Split-Weight Embedding
Yibo Kong, George P. Tiley, Claudia Solis-Lemus
Unsupervised learning has become a staple in classical machine learning, successfully identifying clustering patterns in data across a broad range of domain applications. Surprisin…