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IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data
Research article (Bioinformatics, 2020) · cited 13× · AI/ML
IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data
Summary
IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data is a scholarly article[1].
Key Facts
IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/idmil-an-alignment-free-interpretable-deep-multiple-instance-learning-mil-for-predicting-disease-from-whole-metagenomic-
MLA“IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/idmil-an-alignment-free-interpretable-deep-multiple-instance-learning-mil-for-predicting-disease-from-whole-metagenomic-.
BibTeX@misc{4ortxyz_idmil-an-alignment-free-interpretable-deep-multiple-instance-learning-mil-for-predicting-disease-from-whole-metagenomic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data}}, year = {2026}, url = {https://4ort.xyz/entity/idmil-an-alignment-free-interpretable-deep-multiple-instance-learning-mil-for-predicting-disease-from-whole-metagenomic-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data — https://4ort.xyz/entity/idmil-an-alignment-free-interpretable-deep-multiple-instance-learning-mil-for-predicting-disease-from-whole-metagenomic- (retrieved 2026-05-24)
