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This repository contains scripts for ChIP-seq and RNA-seq analysis used in ARF paper

A Flywheel gear to import MEG metadata from files

An Astrocyte workflow for interactive visualization and exploration of single cell data using CZ CELLxGENE.

Gearification of Sybil Lung Cancer Risk Prediction (https://github.com/reginabarzilaygroup/Sybil)

This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.

Using R & Python, this R Shiny application was developed to visualize and interact with high-throughput data

Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.