How cells respond to genetic perturbations reveals gene function, but each imaging experiment can measure only a limited set of molecular markers. Predicting additional readouts from label-free images could expand what these experiments reveal, but when such predictions can replace direct measurements remains unclear....
Meng-Ran Li, Jian-Qing Zhu, Bo Li et al.· bioRxiv· 0 citations
This work presents CellScientist, a protocol-constrained workflow that converts execution and validation feedback into auditable model-revision trajectories, and produces both a selected predictor and an inspectable record of its development.
Meng-Ran Li, Bo Li, Jia-Yi Wang et al.· 0 citations
SMArT enriches intrapatch semantics through self-supervised multiview fusion, and establishes an effective framework for TSF by integrating self-driven multiview learning with LLMs' reasoning power.
Wen-Bin Xing, Meng-Ran Li, Bo-Yuan Zhang et al.· IEEE Transactions on Neural...· 0 citations
This survey focuses on four fundamental data-centric challenges: (1) Incompleteness, real-world graphs have missing nodes, edges, (2) Missing nodes, edges, and (3) Missing edges.
Meng-Ran Li, Pengyu Zhang, Wen-Bin Xing et al.· 0 citations
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