Hi everyone!
I wanted to start this AI/ML thread to share interesting and relevant papers and code relevant to space biology AI/ML research.
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I know there was some interest in Fedrated Learning a while back and this paper and Git Repo came across my feed. If it for federated learning of bulk RNAseq data:
Researchers from Owkin introduce #FedPyDESeq2, a federated learning-based tool for differential expression analysis (DEA) on siloed bulk RNA-seq datasets. It ensures privacy without moving sensitive data. Benchmarked on The Cancer Genome Atlas across eight indications, FedPyDESeq2 achieves near-identical results to pooled DESeq2 analyses and significantly outperforms meta-analysis methods in heterogeneous settings. A promising step for secure and collaborative genomics research.
Quick Read: FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq - CBIRT
FedPyDESeq2 Git Repo:
Paper:
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Hi @evartsb thank you for sharing! This federated implementation of DESeq2 looks really promising. @james.casaletto any thoughts?
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This look really solid and should be easy to test in a docker environment. Thank you for sharing Brian!
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Anytime @james.casaletto @lauren.sanders and Happy New Year!