Name: Yasmmin Côrtes Martins
Type: User
Bio: I am a scientist who likes and works mainly in the following topics: bioinformatics, semantic web, machine learning.
Location: Rio de Janeiro, Brasil
Blog: https://ypublish.info/
Yasmmin Côrtes Martins's Projects
This is a site for implementation, application and management of cognitive tests.
Basic programs in Python to guide new people in this language
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Pipeline for drug ranking based on computed pathway scores of disease and healthy samples
Graph Kernel based outcome prediction using patient interactomes
Curso introdutório sobre programação para biólogos
Dashboard for analysis of Severe Acute Respiratory Syndrome (srag) dataset and Google's community mobility change (mobility) in Streamlit
Dashboard illustrating a series of exploration analysis in the movies dataset
Dashboard visualization in pure HTML, Javascript and css. Using serverless requests to API for data analysis and statistics summarization.
This is an implementation of the method DSCrank for selecting and ranking semantic datasets from catalogues, executing mapping of their data items, delivering this associations to be voted by a crowd (part implemented for web: http://ypublish.info/crowdsourcing-validation/, but configured in the app) and as a final result it does the integration and generates a new version of the source dataset to be interlinked.
Tool for english images conversion and translation
Epitopes Curation Tool
FAIRLibJs - Library to annotate Javascript libraries according to FAIR metadata standards
API written in Python-Flask to retrieve processed data from the samples metadata exported by GISAID
Web application for covid-19 samples metadata from GISAID, illustrating the use of the request functions provided by FOCA-API
A scikit-learn compatible library for graph kernels
Scientific workflow to augment, predict and evaluate host-pathogen protein-protein interactions
The Unified Machine Learning Framework
Laravel API for management of licenses of software systems and applications usage as well as addition of users and permission levels by application
Web application for management of licenses of software systems and applications usage as well as addition of users and permission levels by application
Curso de R/Rstudio
JavaScript SDK to operate NCI/DCEG's Mutation Signature (mSig) API
Tensorflow model to classify mutational signatures on Cancer Single Nucleotide Variation files.
Python pipeline to prepare epitopes and protein sequence datasets, extract numerical features from sequence with alignment-free methods, perform model evaluation and test model performance upon feature selection.
This repository contains a collection of reusable components that can be integrated into Nuxt.js projects to accelerate development and maintain design consistency throughout the application.
Pipeline to check correlation among proteins in interactomes using GEO gene expression datasets
Python pipelines to filter positive predicted protein interactions according to two criteria: (i) association rules of cellular components according to gold standard PPI data from HINT and (ii) text mining on scientific papers published on Pubmed extracting sentences where the proteins in the PPIs appeared in an interaction context
Python pipelines to prepare PPI (Protein-Protein Interactions) data from reference databases and describe them semantically using ontologies