Home › Entities › academia › Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability

Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability

Research article (Molecular Diversity, 2023) · cited 12× · AI/ML
academia openalex:W4385037895
Press Enter · cited answer in seconds

Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability

Summary

Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability is a scholarly article[1].

Key Facts

  • Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability'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). Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and-
MLA “Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and-.
BibTeX @misc{4ortxyz_machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability — https://4ort.xyz/entity/machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/machine-learning-based-classification-models-for-non-covalent-brutons-tyrosine-kinase-inhibitors-predictive-ability-and- · Last refreshed: