Sebastián Ayala Ruano (sayalaruano)

sayalaruano

Geek Repo

Company:Maastricht University

Location:Netherlands

Home Page:https://sayalaruano.github.io/

Twitter:@sayalaruano

Github PK Tool:Github PK Tool


Organizations
SEH2Bioinfo-Org

Sebastián Ayala Ruano's repositories

100DaysOfMLCode

My progress log and projects I have worked on during the 100DaysOfMLCode challenge

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AMPredST

Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides

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CapstoneProject-MLZoomCamp

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.

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DengueDrugRep

A project to predict new repurposed drugs for dengue using a biomedical knowledge graph and graph neural networks.

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Sentiment-analysis-of-Ecuadorian-political-tweets-from-2021election-with-Natural-Language-Processing

In this project, we captured sentiments of replies to tweets from two Ecuadorian presidential candidates in the 2021 elections (@LassoGuillermo and @ecuarauz). A model of neural networks was used to classify tweets considering their sentiment as positive, negative, or neutral.

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cv

Curriculum vitae

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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NTDs2RDF

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.

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Sound_classif_fmri_and_WCfiring_model

A project to evaluate the capacity of Wilson-Cowan firing-rate model to simulate the biological sound processing captured by fMRI data using machine learning. It was part of the project period 2 of the MSc in Systems Biology at Maastricht University.

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Beta_diversity_project2022

Scripts and data of a project about the abundance and functional diversity of species from tropical montane forests in the northwestern Pichincha in Ecuador.

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Modelling_Biosystems_Project2022

A repository for the scripts of the Modeling Biosystems project

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BactNets-ColombRainforestConv

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

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Dashboard_MGnify_wwt_studies

Streamlit app to show a shows a summary of the waste water treatment studies from Mgnify with more than 10 samples

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Dashboard_MGnify_wwt_studies_bybiome

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

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Dashboard_MGnify_wwt_studies_sp_abund_bybiome

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

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Dashboard_SARS-CoV2_variants_Europe

A dashboard of weekly reports of SARS-CoV2 variants in european countries from 2020 until now created with streamlit

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Dashboard_SARSCoV2_variants_Ecuador

A dashboard of weekly reports of SARS-CoV2 variants in Ecuador from 2020 until now created with streamlit

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Gestion_ganado_bovino_stapp

Esta aplicación facilita la gestión de ganado bovino para una finca.

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img2brain

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.

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Phenology_from_herbarium_records

Flowering phenology of species from Andean tropical mountain forests derived from herbarium records

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powerlow-fit-wwt-nets

App to test the goodness of fit of wwt network's degree distributions

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Retrieve_info_MGnifyAPI

Scripts to get information from MGnify programmatically using its API

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RNAseq_cardiomyopathies_pred

Binary and multi-class classifiers to predict samples of non-failure and cardiomyopathies using RNAseq data

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Rprogram-skills-ExpDesign-DataManag-2022

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.

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sayalaruano

Code for GitHub profile presentation

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sayalaruano.github.io

My personal webpage

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Summary_GBIF_results_jupyter_notebook

Summary about the results of all the 438 species search into GBIF - Phenology project

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Summary_GBIF_results_stapp

Summary about the results of 50 species search into GBIF - Phenology project

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