Zeng Shuai, Adusumilli Trinath, Awan Sania Zafar, Immadi Manish Sridhar, Xu Dong, Joshi Trupti
University of Missouri.
Res Sq. 2025 Jan 9:rs.3.rs-5776937. doi: 10.21203/rs.3.rs-5776937/v1.
The G2PDeep-v2 server is a web-based platform powered by deep learning, for phenotype prediction and markers discovery from multi-omics data in any organisms including humans, plants, animals, and viruses. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm on high-performance computing resources. Users can visualize the results of phenotype and markers predictions and perform Gene Set Enrichment Analysis for the significant markers to provide insights into the molecular mechanisms underlying complex diseases, conditions and other biological phenotypes being studied. The G2PDeep-v2 server is publicly available at https://g2pdeep.org/ and can be utilized for all organisms.
G2PDeep-v2服务器是一个基于网络的平台,由深度学习驱动,用于从包括人类、植物、动物和病毒在内的任何生物体的多组学数据中进行表型预测和标记发现。该服务器为研究人员提供多种服务,以便他们通过交互式界面创建深度学习模型,并使用自动超参数调整算法在高性能计算资源上训练这些模型。用户可以可视化表型和标记预测的结果,并对显著标记进行基因集富集分析,以深入了解所研究的复杂疾病、病症和其他生物学表型背后的分子机制。G2PDeep-v2服务器可在https://g2pdeep.org/上公开获取,可用于所有生物体。