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Hédia Tnani's Projects

metrefit icon metrefit

Brute force algorithm for finding biosynthetic gaps in COBRA formated constraint-based metabolic models. Can provide models or reaction databases of related species with relative scores on how closely related they are to attempt to fill in gaps. Handles reactions from multiple databases including KEGG, modelSEED, and MetaCyc to attempt to fill.

ml-engineering icon ml-engineering

The repository contains all the work including projects, notes, and articles related to ML Engineering while I am learning.

ml-foundations icon ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

mlbookcamp-code icon mlbookcamp-code

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

ml_dl_microarrays icon ml_dl_microarrays

Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario

modules icon modules

Repository to host tool-specific module files for the Nextflow DSL2 community!

mymanhattan icon mymanhattan

R function to generate Manhattan plots using ggplot

nextflow-walkthrough icon nextflow-walkthrough

Nextflow code for "Implementing Scalable Bioinformatic Workflows in Snakemake and Nextflow"

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