Binary Trees for Cell Fates: New Algorithm Reshapes Single-Cell Trajectory Inference
Researchers in Hong Kong and Japan have developed an integer programming method that constrains single-cell trajectory trees to binary branching, ...
Researchers in Hong Kong and Japan have developed an integer programming method that constrains single-cell trajectory trees to binary branching, ...
A major update to the AssayBLAST software adds strand and proximity validation, theoretical amplification prediction, and adaptive BLAST parameter optimization ...
A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution spatial transcriptomics platforms, revealing single-cell detail ...
A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...
Researchers have unveiled EWF 2.0, an exact simulation algorithm that generates statistically perfect allele frequency trajectories under the Wright–Fisher diffusion ...
A new deep learning framework called pLM-HP combines the ESM2 protein language model with a BiLSTM network to predict peptide ...
Researchers have developed GTVelo, a graph transformer-based neural ordinary differential equation model that improves RNA velocity inference by capturing long-range ...
Researchers have devised a pooled AlphaFold3 screening strategy that cuts the number of computational jobs needed to map an entire ...
Researchers at the Universidade de Lisboa have developed a graph neural network method that ranks metabolites by their impact on ...
Computational biology pioneer Peer Bork, who shaped protein network analysis, microbiome research and the TREC coastal ecosystems project, has died ...
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© 2026 Scienmag - Science Magazine