Aspasia Vozi's starred repositories
Intro-to-rnaseq-hpc-O2
This repository has teaching materials for a 2 and 3-day Introduction to RNA-sequencing data analysis workshop using the O2 Cluster
OlinkRPackage
Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Machine-Learning-Reference
Machine learning summary that will always be growing
supplementary-material
A bookdown-based collection of supplementary material from the clinical prediction models book.
jupyter_pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
keras-wtte-rnn
Demo Weibull Time-to-event Recurrent Neural Network in Keras
survival_cluster_analysis
ACM CHIL 2020: "Survival Cluster Analysis"
meningioma
meningioma.app is the companion app to our paper, "Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database"
scikit-survival
Survival analysis built on top of scikit-learn
Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
SurvivalAnalysisSurvey
Machine Learning for Survival Analysis: A Survey
mlops-zoomcamp
Free MLOps course from DataTalks.Club
PLGroup_AI4MedLife-journalclub
info for the COMPUTE peer-learning group "AI for Medicine and Life Sciences - Journal Club"
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
iGEM-distribution
Repository for collective design of an iGEM DNA distribution
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
synthetic_perceptron_2020
algorithm code
synthetic_perceptron_2021
algorithm code