YasCoMa
I am a scientist who likes and works mainly in the following topics: bioinformatics, semantic web, machine learning.
Rio de Janeiro, Brasil
Pinned Repositories
app_web_testCogManager
This is a site for implementation, application and management of cognitive tests.
basic_programs_in_python
Basic programs in Python to guide new people in this language
caliscoma_pipeline
Pipeline for drug ranking based on computed pathway scores of disease and healthy samples
dashboard-srag-mobility
Dashboard for analysis of Severe Acute Respiratory Syndrome (srag) dataset and Google's community mobility change (mobility) in Streamlit
dscrank
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.
hppidiscovery
Scientific workflow to augment, predict and evaluate host-pathogen protein-protein interactions
mutasig
Tensorflow model to classify mutational signatures on Cancer Single Nucleotide Variation files.
ppi_validation_process
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
predprin
Scientific workflow to predict protein-protein interactions based in a combined analysis of multiple protein characteristics.
screendop
Pipeline that performs a screening of disease outcome prediction evaluations following two strategy options: graph kernel based combining PPI + gene expression, and the other based on GSEA enriched pathway scores.
YasCoMa's Repositories
YasCoMa/caliscoma_pipeline
Pipeline for drug ranking based on computed pathway scores of disease and healthy samples
YasCoMa/predprin
Scientific workflow to predict protein-protein interactions based in a combined analysis of multiple protein characteristics.
YasCoMa/dashboard-srag-mobility
Dashboard for analysis of Severe Acute Respiratory Syndrome (srag) dataset and Google's community mobility change (mobility) in Streamlit
YasCoMa/hppidiscovery
Scientific workflow to augment, predict and evaluate host-pathogen protein-protein interactions
YasCoMa/PipeAggregationInfo
Pipeline to check correlation among proteins in interactomes using GEO gene expression datasets
YasCoMa/ppi_validation_process
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
YasCoMa/mutasig
Tensorflow model to classify mutational signatures on Cancer Single Nucleotide Variation files.
YasCoMa/screendop
Pipeline that performs a screening of disease outcome prediction evaluations following two strategy options: graph kernel based combining PPI + gene expression, and the other based on GSEA enriched pathway scores.
YasCoMa/ai_learning_app
YasCoMa/CancerOutcomePrediction
Graph Kernel based outcome prediction using patient interactomes
YasCoMa/dashboard-streamlit-movies
Dashboard illustrating a series of exploration analysis in the movies dataset
YasCoMa/dashboard_impatient_discharges
Dashboard visualization in pure HTML, Javascript and css. Using serverless requests to API for data analysis and statistics summarization.
YasCoMa/dispro-kg-project
Disordered Proteins BioCypher Knowledge graph
YasCoMa/fairlibjs
FAIRLibJs - Library to annotate Javascript libraries according to FAIR metadata standards
YasCoMa/foca_api
API written in Python-Flask to retrieve processed data from the samples metadata exported by GISAID
YasCoMa/foca_webapp
Web application for covid-19 samples metadata from GISAID, illustrating the use of the request functions provided by FOCA-API
YasCoMa/GraKeL
A scikit-learn compatible library for graph kernels
YasCoMa/ivy
The Unified Machine Learning Framework
YasCoMa/manupcal_api
Laravel API for management of licenses of software systems and applications usage as well as addition of users and permission levels by application
YasCoMa/manupcal_app
Web application for management of licenses of software systems and applications usage as well as addition of users and permission levels by application
YasCoMa/medicalImageVolume
YasCoMa/msig
JavaScript SDK to operate NCI/DCEG's Mutation Signature (mSig) API
YasCoMa/paprec_nx_workflow
YasCoMa/paprec_pipeline
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.
YasCoMa/partitions_mtw-nuxt-components
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.
YasCoMa/ppintegrator
Python pipelines to prepare PPI (Protein-Protein Interactions) data from reference databases and describe them semantically using ontologies
YasCoMa/preselantest_pipeline
Python3 pipeline to predict t-cell epitopes or parse b-cell bepipred results, filter epitopes and perform multiple-model antigenicity test.
YasCoMa/prs
Calculation polygenic risk for individual 23andme mutation reports using PGS catalog
YasCoMa/prs_notebook_explanation
Polygenic Risk Score (PRS) calculation and test in public data (openSNPs)
YasCoMa/risk_calc
Calculate polygenic risk score from 23andMe And ancestryDNA raw data