Home › Entities › academia › Deep learning models to predict the editing efficiencies and outcomes of diverse base editors

Deep learning models to predict the editing efficiencies and outcomes of diverse base editors

Research article (Nature Biotechnology, 2023) · cited 66× · AI/ML
academia openalex:W4376610549
Press Enter · cited answer in seconds

Deep learning models to predict the editing efficiencies and outcomes of diverse base editors

Summary

Deep learning models to predict the editing efficiencies and outcomes of diverse base editors is a scholarly article[1].

Key Facts

  • Deep learning models to predict the editing efficiencies and outcomes of diverse base editors'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). Deep learning models to predict the editing efficiencies and outcomes of diverse base editors. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors
MLA “Deep learning models to predict the editing efficiencies and outcomes of diverse base editors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors.
BibTeX @misc{4ortxyz_deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning models to predict the editing efficiencies and outcomes of diverse base editors}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning models to predict the editing efficiencies and outcomes of diverse base editors — https://4ort.xyz/entity/deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deep-learning-models-to-predict-the-editing-efficiencies-and-outcomes-of-diverse-base-editors · Last refreshed: