LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data
ABSTRACT Longitudinal human microbial data offer insights into microbiome dynamics over time. Traditional methods usually overlook temporal relationships among samples from the same subject. Here, we presented the Longitudinal Microbial Data Distance (LorDist) method, which uses functional data fitt...
Saved in:
| Main Authors: | Xinhe Qi, Menghan Zhang, Tongqing Wei, Jinran Lin, Xingming Zhao, Yin Yao, Yueqing Hu, Yan Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Society for Microbiology
2025-08-01
|
| Series: | Microbiology Spectrum |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/spectrum.01542-25 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of sparse data in pharmacokinetic studies
by: I. I. Miroshnichenko, et al.
Published: (2020-12-01) -
Mixed effect gradient boosting for high-dimensional longitudinal data
by: Oyebayo Ridwan Olaniran, et al.
Published: (2025-08-01) -
Data Resource Profile: A Guide for Constructing School-to-work Sequence Analysis Trajectories Using the Longitudinal Education Outcomes (LEO) Data
by: Shivani Sickotra
Published: (2025-03-01) -
Biclustering Multivariate Longitudinal Data with Application to Recovery Trajectories of White Matter After Sport-Related Concussion
by: Caleb Weaver, et al.
Published: (2024-12-01) -
An integrated strain-level analytic pipeline utilizing longitudinal metagenomic data
by: Boyan Zhou, et al.
Published: (2024-11-01)