Memshare delivers shared-memory multicore computation in R via C++ buffers and ALTREP, reporting 2x speedup over SharedObject with no extra resident memory on column-wise apply benchmarks and demonstrating it on mutual-information feature selection for a 10k-by-19k RNA-seq dataset.
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GenoMAS deploys six specialized LLM agents with guided planning to preprocess transcriptomic data and identify genes, reaching 89.13% composite similarity and 60.48% F1 on the GenoTEX benchmark while outperforming prior methods.
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Memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE
Memshare delivers shared-memory multicore computation in R via C++ buffers and ALTREP, reporting 2x speedup over SharedObject with no extra resident memory on column-wise apply benchmarks and demonstrating it on mutual-information feature selection for a 10k-by-19k RNA-seq dataset.
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GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
GenoMAS deploys six specialized LLM agents with guided planning to preprocess transcriptomic data and identify genes, reaching 89.13% composite similarity and 60.48% F1 on the GenoTEX benchmark while outperforming prior methods.