Top 40
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Transcriptomics
Computational frameworks for spatial and single-cell transcriptomic inference and…
Recent benchmarks and frameworks evaluate spatial domain, gene, and cell-type inference, adding calibrated uncertainty and multimodal integration to spatial…
ML / AI methods
Genomic and RNA language models are benchmarked on what their embeddings encode
Foundation models for DNA, RNA, and protein sequence are now probed for what their learned representations encode, beyond raw predictive accuracy.
Structural bio & protein design
Learned scoring of predicted structures for TCR, antibody, and small-molecule binding
Predicted complex structures are increasingly scored by learned models, but confidence metrics often fail to separate cognate from decoy binding.
Systems biology
Network and protocol-aware methods sharpen transcriptomic inference and benchmarking
Recent items benchmark gene regulatory and single-cell methods, exposing protocol-dependent bias and ranking instability under varied evaluation designs.
ML / AI methods
Deep models for drug properties tested for leakage and grounded interpretability
Recent work asks whether learned predictions reflect genuine molecular interaction and whether interpretability rests on independent evidence.