this project aims to be an easy and reusable way to use supervised machine learning techniques
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Updated
Nov 3, 2018 - Java
this project aims to be an easy and reusable way to use supervised machine learning techniques
Repository for pan-spefic primers designed for tiled full genome sequencing or qPCR of viral pathogens. Pathogens include amongst others Hepatitis E virus, Hepatitis A virus, Poliovirus and SARS-COV-2. Primers were designed with varVAMP.
The algorithm for diagnosing hepatitis with Naive Bayes ' Theorem.
RocaSec: A standalone GUI-based package for robust co-evolutionary analysis of proteins
Genome-to-Genome Study of Hepatitis B Virus-infected individuals; EPFL, Fellay lab
Hepatitis B virus Co-ordinate Conversion Tool
A GLUE project for hepatitis B virus (HBV).
This project builds a machine learning model to predict the survival of patients with hepatitis based on clinical and demographic features. It includes data preprocessing, training classification algorithms, evaluating model performance, and saving the final model for deployment.
Extension to HCV-GLUE project, to analyse binding sites for HCV neutralising antibodies.
A GLUE project for hepadnaviruses (family Hepadnaviridae)
Extension to HBV-GLUE - incorporates all sequences from GenBank.
Here's an implementation of the Hepatits B deterministic and controlled model derived in the paper mensioned in the README using pythons numpy and matplotlib. In addition to the notebook there is a desktop application that takes the model parameters and creates solution plots for the model.
A Julia-based machine learning framework to identify predictive biomarkers for chronic Hepatitis B progression from sparse clinical data.
Web application for HBV-GLUE
A collection of R files for each of my respective blog posts, containing exploratory visualizations and cleaned dfs to be used in Flourish or Datawrapper.
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