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Quantum gene regulatory networks

التفاصيل البيبلوغرافية
العنوان: Quantum gene regulatory networks
المؤلفون: Cristhian Roman-Vicharra, James J. Cai
المصدر: npj Quantum Information, Vol 9, Iss 1, Pp 1-8 (2023)
بيانات النشر: Nature Portfolio, 2023.
سنة النشر: 2023
المجموعة: LCC:Physics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
الوصف: Abstract In this work, we present a quantum circuit model for inferring gene regulatory networks (GRNs) from single-cell transcriptomic data. The model employs qubit entanglement to simulate interactions between genes, resulting in competitive performance and promising potential for further exploration. We applied our quantum GRN modeling approach to single-cell transcriptomic data from human lymphoblastoid cells, focusing on a small set of genes involved in innate immunity regulation. Our quantum circuit model successfully predicted the presence and absence of regulatory interactions between genes, while also estimating the strength of these interactions. We argue that the application of quantum computing in biology has the potential to provide a better understanding of single-cell GRNs by more effectively approaching the relationship between fully interconnected genes compared to conventional statistical methods such as correlation and regression. Our results encourage further investigation into the creation of quantum algorithms that utilize single-cell data, paving the way for future research into the intersection of quantum computing and biology.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2056-6387
Relation: https://doaj.org/toc/2056-6387
DOI: 10.1038/s41534-023-00740-6
URL الوصول: https://doaj.org/article/4d4ab0d98e4641809e99866b8e8cda5d
رقم الانضمام: edsdoj.4d4ab0d98e4641809e99866b8e8cda5d
قاعدة البيانات: Directory of Open Access Journals
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