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Metabolomics, NIRS, ML ( RF, PLSR ) and Deep Learning(CNN)
🎯
Metabolomics, NIRS, ML ( RF, PLSR ) and Deep Learning(CNN)
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georgejr45/README.md

  • 👋 Hi, I'm Methun George

Pharmacist turned Bioinformatician on a quest to decode the chaos of biological data. I stare at complex datasets in awe… then roll up my sleeves and find ways to make sense of them. Always learning, always building — one script at a time!

📄 My Resume

🛠️ Projects

  • nearspectRa: R toolbox for NIRS data processing and analysis.
  • EcipGenefail: Senescence gene expression pattern in melanoma cells.

🌟 Skills

  • Programming: Python, R
  • Tools: GSEA, DESeq2, DAVID, Jupyter Notebook
  • Machine Learning: CNN, PLSR, Random Forest
  • Soft Skills: Collaboration, problem-solving, and adaptability.

Feel free to explore my repositories and connect!

Pinned Loading

  1. DESeq2 DESeq2 Public

    This repository outlines a streamlined pipeline for DESeq2-based differential expression analysis. It covers pre-filtering, Rlog transformation, DESeq modeling, visualization with MA plots, PCA, an…

  2. EpicGeneFail EpicGeneFail Public

    This repo contains a project I did to find the senescene gene expression in melanoma cells with R programming, it can be used for reference for the people using Deseq2

  3. nearspectRa nearspectRa Public

    First Version is out now 🔥 (R package for reading, analyzing, and visualizing NIRS data )

    R 1

  4. RandomForest RandomForest Public

    This project develops a Random Forest model to predict heart disease using the UCI Heart Disease dataset. It evaluates patient attributes like age, cholesterol levels, and chest pain type to determ…

    HTML

  5. serbinsh/R-FieldSpectra serbinsh/R-FieldSpectra Public

    R library for importing and processing field spectroscopy data collected with ASD and Spectral Evolution instruments

    R 28 16

  6. NFDI4Chem/ConsortiumMeeting-5_0-abstracts NFDI4Chem/ConsortiumMeeting-5_0-abstracts Public

    Abstracts submitted for the NFDI4Chem Consortium Meeting 5.0 September 2024 in Halle

    JavaScript 2