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  1. A python package to identify partially methylation domains from whole-genome bisulfite sequencing data

    Python 2

  2. Machine learning analysis of whole-genome methylation data reveals novel prediction on tetrahydrofolate level in placenta tissue

    Jupyter Notebook 1 1

  3. A pipeline analysis to efficiently navigate genotype from WGS data within DMR (Differential Methylated Regions) at WGBS data to interaction between Methylation and Genotype


  4. Discovered differential expressed genes with ASD during maternal pregnancy using peripheral blood and study expression changes with different time point

    R 1

  5. Placental Epigenetics and Genetics Signatures for Early Biomarker Identification and Functional Analysis in Autism Spectrum Disorder (ASD) using WGBS, WGS, and RNA-seq


  6. Utilized machine learning models to classify two types of Wilson disease from training cohort blood methylation levels and predicted in the independent testing cohort.


121 contributions in the last year

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November 2021

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