Supplementary Material - NeighborFinder paper

B2FIND2026-03-19 收录

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https://b2find.eudat.eu/dataset/eedfb12a-256f-5497-bb2a-faba76af8ba2 数据链接链接失效反馈

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NeighborFinder is an R package that implements a local network inference method designed for microbiome data. It enables the targeted discovery of direct neighbors around a...

Supplementary Material - NeighborFinder paper

微生物组网络推断

局部微生物网络分析

NeighborFinder is an R package that implements a local network inference method designed for microbiome data. It enables the targeted discovery of direct neighbors around a species of interest. This r

Recherche Data Gouv France2025-01-01 更新50

Reproducibility for MPLasso, SPIEC (gl), and CCLasso at different body sites of different types of HMP datasets.

微生物组网络推断

方法可重复性评估

Reproducibility for MPLasso, SPIEC (gl), and CCLasso at different body sites of different types of HMP datasets.

NIAID Data Ecosystem20

Inferring microbial co-occurrence network from amplicon data: a systematic evaluation

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扩增子分析

Supporting data for the manuscript " Inferring microbial co-occurrence network from amplicon data: a systematic evaluation ".

Zenodo2022-09-05 更新10

Data_Sheet_1_Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data.PDF

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定量微生物数据分析

High-throughput microbial sequencing techniques, such as targeted amplicon-based and metagenomic profiling, provide low-cost genomic survey data of microbial communities in their natural environment,

NIAID Data Ecosystem40

DataSheet1_ARZIMM: A Novel Analytic Platform for the Inference of Microbial Interactions and Community Stability from Longitudinal Microbiome Study.docx

微生物组网络推断

群落稳定性

Dynamic changes of microbiome communities may play important roles in human health and diseases. The recent rise in longitudinal microbiome studies calls for statistical methods that can model the tem

NIAID Data Ecosystem20

Supplementary Material - NeighborFinder paper

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