124 citations · 125 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity
Xiaoqing Lian, Pei Liu, Jiahui Tan +3
Single-cell RNA sequencing (scRNA-seq) enables cell-level analysis of biological heterogeneity, but learning effective representations from high-dimensional, unordered gene express…
q-bio.QM2023★ 1 cited
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model
Liangrui Pan, Dazheng Liu, Zhichao Feng +2
Due to the high heterogeneity and clinical characteristics of cancer, there are significant differences in multi-omic data and clinical characteristics among different cancer subty…
cs.LG2022★ 124 cited
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning
Yu Wang, Chao Pang, Yuzhe Wang +5
Leveraging artificial intelligence for automatic retrosynthesis speeds up organic pathway planning in digital laboratories. However, existing deep learning approaches are unexplain…