nathanieljevans Goto Github PK

followers: 10.0 following: 7.0 repos: 40.0 gists: 0.0

Name: Nathaniel Evans

Type: User

Bio: OHSU Computational Biomedicine PhD Candidate.

Location: Portland, OR

Blog: https://nathanieljevans.github.io/

Nathaniel Evans's Projects

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.

bayesian-hill-equation

bmi543_nn_tutorial

bmi551-kaggle

bmi650

OHSU BMI650: Algorithms

bmi665

OHSU BMI665: Bioinformatics programming and scripting

bnn_tutorial

Brief Bayesian Neural Network (BNN) tutorial.

cancer_perturbation_datasets

EDA, pre-processing and sourcing of datasets relevant gene expression perturbation datasets (cancer focused).

cyclicif_registration

Registration pipeline for cyclic immuno-fluorescence.

deep_drug_sh

designdocumenttemplates

Light weight design document templates in Markdown format.

eagcn

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"

focusstack

Simple Focus Stacking in Python: Merge a collection of photos taken at different focus depths into one image with sharp focus

galbraith_lab_spt

Research Rotation in the Galbraith Lab focused on Single Particle Tracking (SPT) in Total Internal Reflection Fluorescence (TIRF) Imaging.

gnncdr-site

her2_mutant

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.