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Hi there šŸ‘‹


  • šŸ”­ Iā€™m currently working on omics biological data analysis (transcriptomics RNA-seq microarray / proteomics / epigenomics data)
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: she/her

NataliaGarciaBC's Projects

imgprocessingwrappers icon imgprocessingwrappers

In-house python scripts for image processing, wrapping functionalities from scikit-learn image, scipy, openCV

pneumonia-identification-from-x-ray-images icon 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

stat_lm icon stat_lm

Logistic Model for Liquid Biopsy Data. Project for Master in Computational Biology Statistical Data Analysis and Visualizations course

statviz_ine_2020_mortality icon 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)

supervised-ml-for-snp-data-in-patients-with-colorectal-cancer icon 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.

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