A5106731753- Genetic Mapping and Diversity in Plants and Animals
- Genetics and Plant Breeding
- Soybean genetics and cultivation
- Cancer-related molecular mechanisms research
- Machine Learning and Data Classification
- RNA modifications and cancer
- Face and Expression Recognition
- Genomics and Phylogenetic Studies
- Text and Document Classification Technologies
Northwest A&F University
2024
Huazhong Agricultural University
2023
Soybean is a globally significant crop, playing vital role in human nutrition and agriculture. Its complex genetic structure wide trait variation, however, pose challenges for breeders researchers aiming to optimize its yield quality. Addressing this biological complexity requires innovative accurate tools prediction. In response challenge, we have developed SoyDNGP, deep learning-based model that offers advancements the field of soybean Compared existing methods, such as DeepGS DNNGP,...
Abstract N 6-methyladenosine (m6A), which is the mostly prevalent modification in eukaryotic mRNAs, involved gene expression regulation and many RNA metabolism processes. Accurate prediction of m6A important for understanding its molecular mechanisms different biological contexts. However, most existing models have limited range application are species-centric. Here we present PEA-m6A, a unified, modularized parameterized framework that can streamline m6A-Seq data analysis predicting...
Abstract Soybean is a globally significant crop, playing vital role in human nutrition and agriculture. Its complex genetic structure wide trait variation, however, pose challenges for breeders researchers aiming to optimize its yield quality. Addressing this biological complexity requires innovative accurate tools prediction. In response challenge, we have developed SoyDNGP, Convolutional Neural Networks (CNN)-based model that offers advancements the field of soybean Compared existing...