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  1. Age-Stratified-ML-for-AD-Biomarkers Age-Stratified-ML-for-AD-Biomarkers Public

    A supervised machine learning approach applied to proteomic and transcriptomics meta-analysis data to stratify Alzheimer's Disease biomarkers by age group, improving diagnostic potential and uncove…

    Jupyter Notebook

  2. Bulk-RNA-Seq-Downstream-Analysis-Pipeline Bulk-RNA-Seq-Downstream-Analysis-Pipeline Public

    A reproducible Nextflow pipeline integrates user-defined input via YAML or Python config, enabling modular downstream RNA-Seq analysis using DESeq2 with outputs at every stage, including batch corr…

    R

  3. StatisticalModeling_TimeSeriesData StatisticalModeling_TimeSeriesData Public

    Time-series proteomics analysis pipeline using ANOVA, RM-ANOVA, LMM, and EMMeans to identify protein abundance changes under osmotic stress. Includes full statistical modeling, pairwise comparisons…

  4. Kallisto-and-NetworkAnalyst-RNA-Seq-Workflow Kallisto-and-NetworkAnalyst-RNA-Seq-Workflow Public

    This workflow uses Kallisto to quickly count transcript levels from RNA-Seq data and then analyzes those counts using the web platform NetworkAnalyst to find the biological pathways affected.

    R