Hello! I'm Marcos, a highly motivated researcher, passionate about unveiling mysteries, solving puzzles, and finding patterns. My work bridges multiple disciplines, focusing on solutions in data analysis and computational simulations. Driven by challenges and motivated by problem-solving, I continually seek opportunities to expand my knowledge and skills. Thank you for visiting my GitHub profile. I invite you to explore my projects and publications. Feel free to contribute to my repositories or discuss potential collaborations.
Show Projects
Show Current Projects
- Integrating scRNA-seq Data into a Gene Regulatory Network Dynamics Model
- Tools: R, Wolfram Mathematica, Python
- Focus: Glioblastoma Multiforme, GRN dynamics, dimensionality reduction, clustering, stochastic modeling, and time series.
- Articles:
- Junior, M.G.V.; Côrtes, A.M.d.A.; Carneiro, F.R.G.; Carels, N.; Silva, F.A.B.d. A method for in silico exploration of potential Glioblastoma Multiforme attractors using single-cell RNA sequencing. Under peer review at Scientific Reports. (repo)
- Junior, M.G.V.; Côrtes, A.M.d.A.; Carneiro, F.R.G.; Carels, N.; Silva, F.A.B.d. Unveiling the Dynamics behind Glioblastoma Multiforme Single-Cell Data Heterogeneity. Int. J. Mol. Sci. 2024, 25, 4894. https://doi.org/10.3390/ijms25094894
- Carels, N.; Sgariglia, D.; Junior, M.G.V.; Lima, C.R.; Carneiro, F.R.G.; Silva, G.F.d.; Silva, F.A.B.d.; Scardini, R.; Tuszynski, J.A.; Andrade, C.V.d.; et al. A Strategy Utilizing Protein–Protein Interaction Hubs for the Treatment of Cancer Diseases. Int. J. Mol. Sci. 2023, 24, 16098. https://doi.org/10.3390/ijms242216098
- Code Repositories:
Show Past Projects
- Determining Photon Beam Energy Spectra for Radiotherapy Using a Pixel Detector
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Tools: Geant4/C++, ROOT library
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Focus: Reconstruction of the spectrum of a clinical linear accelerator (Clinac), energy calibration, data visualization.
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Works/Articles:
- Vieira, M. G.; Marinho, F.; Amato, S.; Polycarpo, E. Estudo De Viabilidade De determinação De Espectros De Energia De Feixes De fótons Para Radioterapia Usando Um Detector De Pixels. Rev Bras Fis Med 2018, 12, 21-25. https://doi.org/10.29384/rbfm.2018.v12.n3.p21-25
- Master's Dissertation.
- Bachelor's Thesis.
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Code Repositories:
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Show Repositories
Show Skills
- Programming Languages: R, Python, C/C++, bash script, Shell, Linux, SQL
- Libraries/Frameworks (Python): NumPy, Pandas, Scikit-learn, PyTorch, XGBoost, SciPy, SymPy, ...
- Libraries/Frameworks (R): Tidyverse, Bioconductor, Seurat, limma, ...
- Libraries/Frameworks (C++): ROOT (Data Analysis Framework)
- Tools: Google Colab, Wolfram Mathematica, Git, GitHub, Power BI
- Techniques: Statistical analysis, algebra, mathematical modeling, stochastic simulation, time series analysis, machine learning, dimensionality reduction, clustering, logistic regression, predictive analytics, software testing, database design
Show Courses/Certifications
- Machine Learning for Time Series Data in Python - DataCamp (Issued May 2024)
- Cluster Analysis in Python - DataCamp (Issued Apr 2024)
- Feature Engineering for Machine Learning in Python - DataCamp (Issued Apr 2024)
- Preprocessing for Machine Learning in Python - DataCamp (Issued Apr 2024)
- Dimensionality Reduction in Python - DataCamp (Issued Mar 2024)
- Extreme Gradient Boosting with XGBoost - DataCamp (Issued Mar 2024)
- Linear Classifiers in Python - DataCamp (Issued Mar 2024)
- Machine Learning with Tree-Based Models in Python - DataCamp (Issued Mar 2024)
- Unsupervised Learning in Python - DataCamp (Issued Mar 2024)
- Supervised Learning with scikit-learn - DataCamp (Issued Dec 2023)
- Introduction to Predictive Analytics in Python - DataCamp (Issued Mar 2023)
- Intermediate Deep Learning with PyTorch - DataCamp (Issued Dec 2023)
- Introduction to Deep Learning with PyTorch - DataCamp (Issued Nov 2023)
- Object-Oriented Programming in Python - DataCamp (Issued Mar 2024)
- Software Engineering Principles in Python - DataCamp (Issued Mar 2024)
- Unit Testing for Data Science in Python - DataCamp (Issued Mar 2024)
- Introduction to Testing in Python - DataCamp (Issued Mar 2024)
- Writing Efficient Code with pandas - DataCamp (Issued Mar 2024)
- Writing Efficient Python Code - DataCamp (Issued Mar 2024)
- Writing Functions in Python - DataCamp (Issued Mar 2024)
- Python Data Science Toolbox (Part 2) - DataCamp (Issued Dec 2023)
- Python Data Science Toolbox (Part 1) - DataCamp (Issued Nov 2023)
- Reshaping Data with pandas - DataCamp (Issued Mar 2024)
- Data Manipulation with pandas - DataCamp (Issued Aug 2023)
- Joining Data with pandas - DataCamp (Issued Aug 2023)
- Database Design - DataCamp (Issued Apr 2024)
- Introduction to Relational Databases in SQL - DataCamp (Issued Apr 2024)
- Introduction to SQL - DataCamp (Issued Nov 2023)
- Analyzing IoT Data in Python - DataCamp (Issued Feb 2024)
- Streaming Concepts - DataCamp (Issued Feb 2024)
- MLOps Concepts - DataCamp (Issued Jan 2024)
- Introduction to Power BI - DataCamp (Issued Nov 2023)
- Differential Expression Analysis with limma in R - DataCamp (Issued Feb 2021)
- RNA-Seq with Bioconductor in R - DataCamp (Issued Feb 2021)
- Single-Cell RNA-Seq with Bioconductor in R - DataCamp (Issued Feb 2021)
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