2 papers
stat.ME2024
Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses
Ritwik Bhaduri, Siyuan Ma, Lucas Janson
Compositional data (i.e., data comprising random variables that sum up to a constant) arises in many applications including microbiome studies, chemical ecology, political science,…
q-bio.QM2024
Recent advances in deep learning and language models for studying the microbiome
Binghao Yan, Yunbi Nam, Lingyao Li +3
Recent advancements in deep learning, particularly large language models (LLMs), made a significant impact on how researchers study microbiome and metagenomics data. Microbial prot…