Home › Entities › academia › Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses

Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses

Research article (Frontiers in Pharmacology, 2019) · cited 61× · AI/ML
academia openalex:W2914415092
Press Enter · cited answer in seconds

Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses

Summary

Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses is a scholarly article[1].

Key Facts

  • Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses'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 Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses
MLA “Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses.
BibTeX @misc{4ortxyz_deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses — https://4ort.xyz/entity/deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deep-neural-network-models-for-predicting-chemically-induced-liver-toxicity-endpoints-from-transcriptomic-responses · Last refreshed: