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CreMoProduction/README.md

👋 Hi, I'm Alex Ilchenko!

About Me

  • PhD in chemistry focused on Metabolomics and Data Science.
  • I’m currently learning advanced statistical methods and machine learning techniques for metabolomics data analysis.
  • I’m open to collaborate on projects involving metabolomics data processing, statistical analysis, and software development.

Skills

  • Multivariate techniques (PCA, SVD, SVM, kNN, PLS, OPLS-DA, HCA, etc)
  • Univariate statistics
  • Resolving overlapping signals (MCR-ALS with initialization, ambiguity optimization, model rank determination)
  • Data treatment (scaling, normalization, imputation, transforming, etc)
  • Data dimensionality reduction for megavariate datasets
  • Interpreting multivariate results to explain biological variance, identify biomarkers, and predict outcomes
  • Reporting and presenting complex analysis results through scientific reports, publications, and visual dashboards

Tools

  • Python, tkinter, plotly, matplotlib, pandas, numpy, R, ggplot2, git, JSON handling, JavaScript, Adobe API, etc

Pinned Loading

  1. Metabolites-Cleaner Metabolites-Cleaner Public

    R scripts that remove unwanted metabolites from NIST file and xlsx table and cleans metabolite names

    R 2

  2. sirius-profinder sirius-profinder Public

    Annotate LC-MS extracted molecular features of untargeted Agilent Mass Hunter ProFinder processing using SIRIUS software of analysis LC-MS/MS

    R

  3. nistAutoSearch nistAutoSearch Public

    Performs library searches against electron ionization mass spectral (EI-MS) databases using the API NIST MS Search

    R