Name: Gregory Way
Type: User
Company: University of Colorado Anschutz
Bio: Assistant Professor in Department of Biomedical Informatics @wayscience | Data science, machine learning, cell morphology, genomics, and cancer
Twitter: gwaybio
Location: Aurora, Colorado
Blog: https://www.waysciencelab.com
Gregory Way's Projects
Fork of https://github.com/dhimmel/integrate - Focus on MSigDB
Assigning biological knowledge to compressed gene expression features
This repository contains the pipelines used to analyze the data sets from the Interstellar collaboration.
Images and other data from the JUMP Cell Painting Consortium
Single cell analysis of the JUMP Cell Painting consortium data
Keras implementation of Deep Convolutional Generative Adversarial Networks
A conda-smithy repository for keras.
Experimenting with Generative Adversarial Networks using the Keras library in Python
Donuts
Processed Cell Painting Data for the LINCS Drug Repurposing Project
Analyzing and comparing signal found in different profiling technologies
Machine learning for Project Cognoma
All information regarding the download and processing of Mitocheck data from IDR study with accession idr0013 (screenA).
Machine Learning Workers for Project Cognoma
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
Bioconductor package for management of multi-assay data
Multi-class KRAS/NRAS Classifier for Multiple Myeloma
This repository contains all the modules to perform image-based analysis with CellProfiler on NF1 Schwann cell data.
Using Machine Learning to Identify Glioblastoma patients with NF1 inactivation
Data processing for NF1 Schwann cell pilot images.
Written lab policies and standards often read when joining the lab!
Collaboratively written manuscript discussing Ten Simple Rules for Enabling Open Science in Biomedical Research
The manuscript repository for the Open Pediatric Brain Tumor Atlas Project
Examples and code for optical pooled screens
Scraping Gene Ontology for standardized organelle terms and IDs
Visualizing TCGA pancancer datasets
Building classifiers using cancer transcriptomes across 33 different cancer-types
An interactive and collaborative graphical curation tool for cancer pathways