Home › Entities › academia › An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients

An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients

Research article (NAR Genomics and Bioinformatics, 2020) · cited 55× · AI/ML
academia openalex:W3007596590
Press Enter · cited answer in seconds

An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients

Summary

An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients is a scholarly article[1].

Key Facts

  • An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease-
MLA “An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease-.
BibTeX @misc{4ortxyz_an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients — https://4ort.xyz/entity/an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-interpretable-low-complexity-machine-learning-framework-for-robust-exome-based-in-silico-diagnosis-of-crohns-disease- · Last refreshed: