Machine learning-based ensemble approach in prediction of lung cancer predisposition using XRCC1 gene polymorphism-Reference-Cited by-同舟云学术

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Machine learning-based ensemble approach in prediction of lung cancer predisposition using XRCC1 gene polymorphism

Published:2023-08-06 Issue: Volume: Page:1-10
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Choudhary Abhishek¹,Anand Adarsh²,Singh Amrita³,Roy Pratima³,Singh Navneet⁴,Kumar Vinay²,Sharma Siddharth³,Baranwal Manoj³

Affiliation:

1. Department of Computer Science, Thapar Institute of Engineering & Technology, India

2. Department of Electronics & Communication Engineering, Thapar Institute of Engineering & Technology, India

3. Department of Biotechnology, Thapar Institute of Engineering & Technology, Patiala, Punjab, India

4. Department of Pulmonary Medicine, Post Graduate Institute of Education and Medical Research (PGIMER), Chandigarh, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2242492

Reference48 articles.

1. Discriminating cognitive status in Parkinson’s disease through functional connectomics and machine learning

2. Artificial Intelligence in Drug Discovery and Development

3. Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

4. Polymorphisms in DNA repair gene XRCC1 and increased genetic susceptibility to breast cancer

5. Inflammatory Mediators in Chronic Obstructive Pulmonary Disease

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1. Baseline ¹⁸F-FDG PET Radiomics Predicting Therapeutic Efficacy of Diffuse Large B-Cell Lymphoma after R-CHOP (-Like) Therapy;Cancer Biotherapy and Radiopharmaceuticals;2024-09-04

2. XRCC1 rs1799782 Promotes DNA Damage Repair in Lung Cancer Cells by Enhancing Its Binding to FOXA1 to Facilitate FOXA1-Mediated Transcription of XRCC1;Discovery Medicine;2024

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