andrew-weisman

streamlit-dataframe-editor

Small Python wrapper around streamlit.data_editor() to improve its functionality

target_classification

NOT READY FOR PUBLIC RELEASE. Procedure for classification of gene expression data from the TARGET dataset into cancer type (or normal)

andrew-weisman.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

Benchmarks

ECP-CANDLE Benchmarks

candle_wrappers

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering - See e.g. clone on Biowulf at /home/weismanal/projects/idibell/repo

jupyter-intro-xfel-jan17

Introduction to Jupyter Notebook

mitochondria-segmentation

ML-TC1

Deep-Learning (Convolutional Neural Network) modeling procedure to classify Cancer/tumor Sites/types.

platform-capability-understanding

public_notebook

python-carpentry-workshop

SpatialUMAP

SpatialUMAP - UMAP applied to spatially derived feature vectors from segmented single cell imaging data.

Supervisor

swift-t

Swift/T: High Performance Parallel Scripting Language

tybalt-with-candle