Home ›
Entities
› academia
› <i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches
<i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches
Research article (BioMed Research International, 2016) · cited 37× · AI/ML
In SilicoPrediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches
Summary
In SilicoPrediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches is a scholarly article[1].
Key Facts
In SilicoPrediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). <i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/i-in-silico-i-prediction-of-gamma-aminobutyric-acid-type-a-receptors-using-novel-machine-learning-based-svm-and-gbdt-app
MLA“<i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/i-in-silico-i-prediction-of-gamma-aminobutyric-acid-type-a-receptors-using-novel-machine-learning-based-svm-and-gbdt-app.
BibTeX@misc{4ortxyz_i-in-silico-i-prediction-of-gamma-aminobutyric-acid-type-a-receptors-using-novel-machine-learning-based-svm-and-gbdt-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{<i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches}}, year = {2026}, url = {https://4ort.xyz/entity/i-in-silico-i-prediction-of-gamma-aminobutyric-acid-type-a-receptors-using-novel-machine-learning-based-svm-and-gbdt-app}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): <i>In Silico</i>Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches — https://4ort.xyz/entity/i-in-silico-i-prediction-of-gamma-aminobutyric-acid-type-a-receptors-using-novel-machine-learning-based-svm-and-gbdt-app (retrieved 2026-05-24)
