2 papers
stat.ME2026
Hierarchical Clustering With Confidence
Di Wu, Jacob Bien, Snigdha Panigrahi
Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However, its greedy nature makes i…
q-bio.QM2025
FAPS: A Fast Platform for Protein Structureomics Analysis
Lucas Wilken, Nihjum Paul, Troy Timmerman +7
Protein quantification and analysis are well-accepted approaches for biomarker discovery but are limited to identification without structural information. High-throughput omics dat…