bioRxiv / medRxiv
open access
CC BY-ND 4.0
Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversity
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Drivers of distance decay of host-associated microbiomes vary by host sociality and microbial association strength#964957
- Phylogenetic coherence in microbiome composition across environmental gradients#356348
- Integrating geochemistry and metagenomics reveals spatially specific microbial signatures in a recovering stream#448133
- Use of machine learning to detect Escherichia coli in drinking water in Bangladesh.#476978
- Spatial-Scale Evolutionary Bias Sheds Light on the Latitudinal Diversity Gradient#651874
Record · ID 296494
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive