期刊简介

Statistical Applications in Genetics and Molecular Biology (SAGMB) is a peer reviewed journal dedicated to advancing statistical, machine learning, and artificial intelligence (AI) methodologies and their applications across the full spectrum of modern molecular biosciences. The journal welcomes high-quality research addressing analytical challenges in all omics domains, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics.SAGMB serves as a platform for rigorous quantitative methods that support the analysis and interpretation of complex, high-dimensional biological data. Submissions that introduce novel techniques or demonstrate insightful applications of existing statistical, machine learning, and AI approaches to molecular biology are strongly encouraged. Review papers and Tutorials (including on software applications) are also welcome.