Diffusion model for imputing time-series gut microbiome profiles using phylogenetic information and metadata integration

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf181
Citations
1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffusion model for imputing time-series gut microbiome profiles using phylogenetic information and metadata integration

Seiya Imoto, Yaozhong Zhang, Misato Seki
1 citations
Bioinformatics Advances
Gut microbiota and health
0.23
article

Diffusion model for imputing time-series gut microbiome profiles using phylogenetic information and metadata integration

Seiya Imoto, Yaozhong Zhang, Misato Seki
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Tokyo Medical University (JP)
University of Tokyo, Japan Science and Technology Agency, Center of Innovation Program
Openalex Percentile: Top 39%
Gut microbiota and health
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Diffusion model for imputing time-series gut microbiome profiles using phylogenetic information and metadata integration — Seiya Imoto, Yaozhong Zhang, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS