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peterkaltenecker/README.md

I am Péter Kaltenecker, a molecular biologist currently working as a computational scientist. I moved away from wet lab work and now use bioinformatics and data science tools for different kinds of data analysis. Besides that, my main focus is to apply machine learning methods (classification, dimension reduction, clustering) in translational medicine.

This GitHub page works only as a collection of repositories at the moment containing scripts for the projects that I am/have been working on. However, most of the latest projects are not public yet.

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  1. APS_-_A_comprehensive_analysis APS_-_A_comprehensive_analysis Public

    This repository displays the systematic analysis and network mapping of several autoimmune diseases in APS, a complex autoimmune disease, in a Hungarian cohort.

    HTML 1

  2. Flow_cytometry_analysis Flow_cytometry_analysis Public

    A collection of packages for handling and clustering flow cytometry data in R; with some code, helper functions and useful links.

    R

  3. ML_classification_exercise ML_classification_exercise Public

    Jupyter Notebook

  4. Clustering_of_flow_cytometry_data Clustering_of_flow_cytometry_data Public

    A test of several clustering algorithms to group immune cells based on flow cytometry measurements.

    Jupyter Notebook

  5. Final_task_JDS_Academy Final_task_JDS_Academy Public

    Solutions for the final exam of a 3 months long data science course at JDS Acaddemy.

    Jupyter Notebook

  6. Useful_staff Useful_staff Public

    This is a repo with random staff that may be useful in some situations.

    Jupyter Notebook