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1. Practical-Transcriptomics-with-R Practical-Transcriptomics-with-R Public

   Practical tutorial-style guide for transcriptomic data analysis in R including GEO data retrieval, metadata filtering, preprocessing, quality control and normalization workflows.

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2. Transcriptomic-Data-Integration-for-ML Transcriptomic-Data-Integration-for-ML Public

   Reproducible transcriptomic data integration workflow for multi-cohort and cross-platform datasets including annotation, normalization, batch correction and ML-ready feature preparation.

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