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- Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology | npj Precision Oncology (nature.com)
- DIST: spatial transcriptomics enhancement using deep learning | Briefings in Bioinformatics | Oxford Academic (oup.com)
- Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures | Journal of Chemical Information and Modeling (acs.org)
- Enzyme function prediction using contrastive learning | Science
- CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity | Bioinformatics | Oxford Academic (oup.com)
- Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data | Bioinformatics | Oxford Academic (oup.com)
- CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction | Bioinformatics | Oxford Academic (oup.com)
- Improving annotation propagation on molecular networks through random walks: introducing ChemWalker | Bioinformatics | Oxford Academic (oup.com)
- The characteristic direction: a geometrical approach to identify differentially expressed genes | BMC Bioinformatics | Full Text (biomedcentral.com)
이번주는 그래프 특집.
- Modeling intercellular communication in tissues using spatial graphs of cells | Nature Biotechnology
- scGCL: an imputation method for scRNA-seq data based on graph contrastive learning | Bioinformatics | Oxford Academic (oup.com)
- ARAX: a graph-based modular reasoning tool for translational biomedicine | Bioinformatics | Oxford Academic (oup.com)
- NDEx IQuery: a multi-method network gene set analysis leveraging the Network Data Exchange | Bioinformatics | Oxford Academic (oup.com)\
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