Abstract Motivation Genomic alterations in cancer arise from selective pressures acting on hallmark molecular modules, layered over a background of random mutagenic events. Methods to detect selection at the level of modules, as opposed to genes or nucleotides, are relatively underdeveloped. Results Here we present Can...
Marcus R. Kelly, Burçak Otlu, Roded Sharan et al.· Bioinformatics· 0 citations
This work proposes a generational genetic algorithm to coordinate specialized large language model agents that integrate mechanistic arguments, reconsider assumptions, and assess evidence and testability that advances a vision of autonomous science in which AI research teams achieve a capacity for discovery beyond that...
Jie-Yuan Liu, Meng-Zhou Hu, Jefferson Chen et al.· 1 citation
Oncoformer provides a framework for risk-informed cancer prediction and treatment stratification using routine clinical data and was independently validated against postoperative pathological endpoints and shown to converge on core cancer genomic pathways.
Fei Liu, Kai Wang, Hui Xu et al.· Cell· 2 citations
