Pinned Repositories
AMS-2.0
Rudimentary cell counting program for custom microscope integration; Semi-supervised CNN classification for 9 particle types in brightfield microscope imaging.
AnalyticsCourse
Prework and In Course Assignments for Analytics Course
AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
atypical_doseresponse_classifier
This repo comprises a method to identify atypical dose-response curves using a Convolutional Neural Network trained from simulation data. Most of the implementation is aimed at 7-dose point response curves and attempts to predict hermetic dose points.
Galbraith_Lab_SPT
Research Rotation in the Galbraith Lab focused on Single Particle Tracking (SPT) in Total Internal Reflection Fluorescence (TIRF) Imaging.
GSNN
Graph Structured Neural Networks
networkx_tutorial
BMI 567/667 networkx tutorial
Nuclei-Segmentation
2018 Data Science Bowl - https://www.kaggle.com/c/data-science-bowl-2018#description - Team Teddy
Outer-Capillary-Angle-Analysis
Measurement method for the angle and orthogonality of a rigid glass fiber using multi-level stacked images.
synthetic_doseresponse_generator
This repo contains the methods necessary to simulate hormetic dose-response curves with a variety of user provided parameters.
nathanieljevans's Repositories
nathanieljevans/GSNN
Graph Structured Neural Networks
nathanieljevans/atypical_doseresponse_classifier
This repo comprises a method to identify atypical dose-response curves using a Convolutional Neural Network trained from simulation data. Most of the implementation is aimed at 7-dose point response curves and attempts to predict hermetic dose points.
nathanieljevans/networkx_tutorial
BMI 567/667 networkx tutorial
nathanieljevans/AnalyticsCourse
Prework and In Course Assignments for Analytics Course
nathanieljevans/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
nathanieljevans/bayesian-hill-equation
nathanieljevans/Galbraith_Lab_SPT
Research Rotation in the Galbraith Lab focused on Single Particle Tracking (SPT) in Total Internal Reflection Fluorescence (TIRF) Imaging.
nathanieljevans/Outer-Capillary-Angle-Analysis
Measurement method for the angle and orthogonality of a rigid glass fiber using multi-level stacked images.
nathanieljevans/synthetic_doseresponse_generator
This repo contains the methods necessary to simulate hormetic dose-response curves with a variety of user provided parameters.
nathanieljevans/bmi543_nn_tutorial
nathanieljevans/BNN_tutorial
Brief Bayesian Neural Network (BNN) tutorial.
nathanieljevans/cancer_perturbation_datasets
EDA, pre-processing and sourcing of datasets relevant gene expression perturbation datasets (cancer focused).
nathanieljevans/cyclicIF_registration
Registration pipeline for cyclic immuno-fluorescence.
nathanieljevans/DEEP_DRUG_SH
nathanieljevans/DesignDocumentTemplates
Light weight design document templates in Markdown format.
nathanieljevans/DVGS
Data Valuation with Gradient Similarity (DVGS)
nathanieljevans/EAGCN
nathanieljevans/EVANS_GNNCDR_ISMB2022
Info and References page for Nathaniel Evans poster presentation at ISMB 2022, titled: "Prediction of drug-perturbed cancer cell line gene expression using graph neural networks"
nathanieljevans/gnnCDR-site
nathanieljevans/HER2_mutant
nathanieljevans/HNSCC_functional_data_pipeline
This project is joint lead by Shannon McWeeney & Molly F. Kulesz-Martin. The purpose of this project is to put together an analysis pipeline for functional assay data generated by the HNSCC project.
nathanieljevans/HNSCC_Trametinib_Combination_Therapy
Patient Specific Potential for Trametinib Therapy in HNSCC
nathanieljevans/live_cell_reporter_imaging
nathanieljevans/NetworksBiology_graph_learning
OHSU BMI567/667 Graph Learning Week
nathanieljevans/ohsu-ethics-final-2020
nathanieljevans/SimpleDTA
nathanieljevans/STATS572_Bayesian_Stats_Final
Repo for the final project
nathanieljevans/The-Cancer-Targetome
Initial data release for drug-target interactions of the cancer targetome.
nathanieljevans/TrojanArrow
Predicting Gene Dependency (DepMap: Achilles Dataset) using RNA expression in a GCN + VNN framework.
nathanieljevans/uncertain_tools
toolkit for evaluating probabilistic models with emphasis on model calibration and uncertainty quantification