Recent Publications
Dual-Extraction Modeling: A multimodal deep learning architecture for phenotypic prediction and functional gene mining of complex traits
Despite considerable advances in extracting crucial insights from bio-omics data to unravel the intricate mechanisms underlying complex …
PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants
N6-methyladenosine (m6A), which is the mostly prevalent modification in eukaryotic mRNAs, is involved in gene expression regulation and …
IPOP: An Integrative Plant Multi-omics Platform for Cross-species Comparison and Evolutionary Study
The advent of high-throughput sequencing technologies has led to the production of a significant amount of omics data in plants, which …
Changes in m6A RNA methylation are associated with male sterility in wolfberry
N6-methyladenosine (m6A) modification is the most abundant type of RNA modification in eukaryotic cells, playing pivotal roles in …
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data
With the development of high-throughput experimental technologies, large-scale RNA sequencing (RNA-Seq) data have been and continue to …
