Name: Sebastián Ayala Ruano
Type: User
Company: Maastricht University
Bio: Systems Biology MSc student and data science learner interested in Bioinformatics, Machine Learning, and Network Science.
Twitter: sayalaruano
Location: Netherlands
Blog: https://sayalaruano.github.io/
Sebastián Ayala Ruano's Projects
My progress log and projects I have worked on during the 100DaysOfMLCode challenge
Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
A project to evaluate the differences in bacterial association networks from rainforest and converted pasturelands in the Colombian Amazon region using CCLasso and SPRING inference methods
Scripts and data of a project about the abundance and functional diversity of species from tropical montane forests in the northwestern Pichincha in Ecuador.
For my capstone project of the Machine Learning Zoomcamp, I decided to work in machine/deep learning binary classifiers to predict the activity of antimicrobial peptides.
Curriculum vitae
Streamlit app to show a shows a summary of the waste water treatment studies from Mgnify with more than 10 samples
Streamlit app to show a shows a summary of the waste water treatment studies from Mgnify groped by biome and filtered by the median number of taxa per biome
Streamlit app to show a summary of the waste water treatment studies from Mgnify groped by biome and filtered by the median number of species per biome
A dashboard of weekly reports of SARS-CoV2 variants in european countries from 2020 until now created with streamlit
A dashboard of weekly reports of SARS-CoV2 variants in Ecuador from 2020 until now created with streamlit
A project to predict new repurposed drugs for dengue using a biomedical knowledge graph and graph neural networks.
Esta aplicación facilita la gestión de ganado bovino para una finca.
A project to predict the neural visual responses to naturalistic scenes using machine learning. It was my capstone project of the Machine learning course from the MSc in Systems Biology at Maastricht University.
Solución tecnológica que consiste en una página web para el registro de los datos sobre informalidad laboral en Ecuador. El registro de datos está vinculado a un servicio de red social para los trabajadores informales, donde podrán compartir experiencias y realizar contactos, encontrar recursos de desarrollo profesional y oportunidades laborales, además de promover el aprendizaje y una comunidad.
For my midterm project of the Machine Learning Zoomcamp, I decided to work in the Open Bioinformatics Research Project proposed by Data Professor (https://github.com/dataprofessor). More information about this project in this video: https://youtu.be/_GtEgiWWyK4
The code from the Machine Learning Bookcamp book and a free course based on the book
A repository for the scripts of the Modeling Biosystems project
The NTDs2RDF project aimed to create a schema and an RDF graph of proteins, metabolic pathways, drugs, and other relevant data for three NTDs (Chagas disease, leishmaniasis, and African trypanosomiasis) to integrate all the information in a single data structure that can be queried to obtain novel therapeutic insights.
Flowering phenology of species from Andean tropical mountain forests derived from herbarium records
App to test the goodness of fit of wwt network's degree distributions
Scripts to get information from MGnify programmatically using its API
Binary and multi-class classifiers to predict samples of non-failure and cardiomyopathies using RNAseq data
This is a summary of the R programming skills sessions of the Experimental Design and Data Management (2223-MSB1005) course 2022. The course is part of the Master of Systems Biology at the Maastrich University.
Code for GitHub profile presentation
My personal webpage
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent