日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Accelerate the discovery of genetic variants in mitochondrial diseases with Variant prIOritization using Latent spAce

利用潜在空间进行变异优先化,加速线粒体疾病中遗传变异的发现

Labory, Justine; Boulaimen, Youssef; Singh, Jasmine; Ait-El-Mkadem Saadi, Samira; Paquis-Flucklinger, Véronique; Bannwarth, Sylvie; Bottini, Silvia

Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data

利用代谢组学生物医学数据,对特征选择和特征提取方法进行基准测试,以提高机器学习算法在患者分类中的性能。

Labory, Justine; Njomgue-Fotso, Evariste; Bottini, Silvia

Multi-Omics Approaches to Improve Mitochondrial Disease Diagnosis: Challenges, Advances, and Perspectives

利用多组学方法改进线粒体疾病诊断:挑战、进展和展望

Labory, Justine; Fierville, Morgane; Ait-El-Mkadem, Samira; Bannwarth, Sylvie; Paquis-Flucklinger, Véronique; Bottini, Silvia

Inter-laboratory optimization of protein extraction, separation, and fluorescent detection of endogenous rice allergens

内源性大米过敏原蛋白质提取、分离及荧光检测的跨实验室优化

Rie Satoh, Reiko Teshima, Kazumi Kitta, Gang-Hua Lang, Kathleen Schegg, Kenneth Blumenthal, Leslie Hicks, Bénédicte Labory-Carcenac, David Rouquié, Rod A Herman, Corinne Herouet-Guicheney, Gregory S Ladics, Scott McClain, Lars K Poulsen, Laura Privalle, Jason M Ward, Nancy Doerrer, Jean-Baptiste Ras