TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
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Sep 16, 2021 - R
TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
Analysis to solve the problem of abandonment of Plarium users
Este projeto teste, analisa perfis de expressão gênica de dados de RNA-Seq para identificar genes diferencialmente expressos em pacientes com Doença Arterial Coronariana (DAC) usando R.
Systematic analysis of major cyberattacks based on CIA triad impact, identity theft, and attacker TTPs.
This project analyzes supermarket sales data to uncover key trends, customer behavior, and business performance. Using Power BI and Excel, I explored sales distribution, profitability, and customer preferences across different regions and product lines.
Group academic project for GEA1000: Quantitative Reasoning with Data
An EDA project on laptops that classifies specs into high, average, and low tiers, guiding beginner customers toward better purchases. Built using SQL, Python, Pandas, Matplotlib, Seaborn; report created using Canva.
This project features a data analysis professional report created using python and Power BI. The analyzed data comes from a licensed Kaggle dataset of restaurants in Bangalore, India, listed on Zomato, a platform for food ordering and restaurants reviews. The concluded insights and results can be of use for tourists, business owners and others.
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