Natpod
Computational Biologist enthusiastic in coding and learning ML and semantic technology applications in Health and biology
Pinned Repositories
Bioinformatics-applications
Code containing python bash and awk applications for simple tasks in bioinformatics
creative-profile-readme
A Collection of GitHub Profiles with awesome readme
ImgProcessingWrappers
In-house python scripts for image processing, wrapping functionalities from scikit-learn image, scipy, openCV
Lead-Discovery-For-Rheumathoid-Arthritis
Natpod
NLP-Sentinent-analysis-and-Text-Generation-applications-on-Keras
This repository contains code for several NLP implementations on Keras
OhBOI_Human_Bacterial_Infectious_Disease_Ontology_SemTech_AN
Ontology framework for Semantic Ontology MBC in Computational Biology course
Pneumonia-identification-from-X-Ray-images
Final code project for the *Big Data Engineering* course in the Master in Computational Biology, with the purpose of training several MLlib Spark-based image classification solutions for predicting Pneumonia from patients in a Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification
RESTful-bio-API-access-examples
A collection of examples of RESTful API requests to biological db
Supervised-ML-for-SNP-data-in-patients-with-Colorectal-Cancer
This repository implements code for deploying and comparing supervised machine learning models to develop a classifier that will distinguish if an patient with Colorectal cancer (CRC) will have a good (R) or inexistent (NR) response to treatment based on its Single-Nucleotide polymorphism (SNP) information.
Natpod's Repositories
Natpod/Pneumonia-identification-from-X-Ray-images
Final code project for the *Big Data Engineering* course in the Master in Computational Biology, with the purpose of training several MLlib Spark-based image classification solutions for predicting Pneumonia from patients in a Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification
Natpod/Supervised-ML-for-SNP-data-in-patients-with-Colorectal-Cancer
This repository implements code for deploying and comparing supervised machine learning models to develop a classifier that will distinguish if an patient with Colorectal cancer (CRC) will have a good (R) or inexistent (NR) response to treatment based on its Single-Nucleotide polymorphism (SNP) information.
Natpod/Bioinformatics-applications
Code containing python bash and awk applications for simple tasks in bioinformatics
Natpod/creative-profile-readme
A Collection of GitHub Profiles with awesome readme
Natpod/ImgProcessingWrappers
In-house python scripts for image processing, wrapping functionalities from scikit-learn image, scipy, openCV
Natpod/Lead-Discovery-For-Rheumathoid-Arthritis
Natpod/Natpod
Natpod/NLP-Sentinent-analysis-and-Text-Generation-applications-on-Keras
This repository contains code for several NLP implementations on Keras
Natpod/OhBOI_Human_Bacterial_Infectious_Disease_Ontology_SemTech_AN
Ontology framework for Semantic Ontology MBC in Computational Biology course
Natpod/RESTful-bio-API-access-examples
A collection of examples of RESTful API requests to biological db
Natpod/Stat_LM
Logistic Model for Liquid Biopsy Data. Project for Master in Computational Biology Statistical Data Analysis and Visualizations course
Natpod/StatViz_INE_2020_Mortality
Code and Description for Visualizations for the Master in Computational Biology Statistic Data Analysis and Visualization course in 2020 Mortality INE dataset(2022)
Natpod/Synthetic-Biology-Network-Analysis-on-Regulon-DB-E-coli-Data
This repository contains R code for the Synthetic Biology course practice from a Master in Computational Biology, analyzing