I'm a bioinformatician navigating the crossroads of big data analytics 📊, machine learning 💻 and molecular biology 🔬, mainly coding in Python and R. Currently, I'm focusing onto the complexities of proteomics as a research assistant working in Human Disease Blood Atlas in Fredrik Edfors and Mathias Uhlén Labs, trying to identify biomarkers for diseases. I'm passionate about collaborating and contributing to open science, and I'm eager to connect with like-minded individuals to explore new ideas and projects together.
MSc student @KTH | Intern @SciLifeLab
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KTH Royal Institute of Technology
- Stockholm
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18:15
(UTC +01:00) - https://kantonopoulos.github.io
- in/kantonopoulos
Highlights
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HDA1472/HDAnalyzeR
HDA1472/HDAnalyzeR PublicHDAnalyzeR: HDA Internal Package for Streamed-line Proteomics Analysis
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sciviz
sciviz PublicSimplify statistical data visualization in Python - Create publication-quality plots with ease!
Jupyter Notebook
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ProteinSS-Prediction-Keras
ProteinSS-Prediction-Keras PublicEnhancing protein secondary structure prediction using neural networks in Python with Keras, implemented as part of bioinformatics course.
Jupyter Notebook
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Rheological-Analysis-Toolbox
Rheological-Analysis-Toolbox PublicA collection of code and resources for creating primary databases, analyzing rheological data for Osteoarthritis research, and generating technical reports for the results.
Jupyter Notebook
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