davnovak

auto_compensate

Pipeline to compensate new CyTOF measurements routinely & quickly. Used @ CLIP.

Autoencoder-Clustering

Replication of "Auto-encoder Based Data Clustering" Song et al

avl_tree

CellCnn

command_line_parser

.NET API for parsing commands. Comprises unit tests and example usage.

CONCEPT_ae_clustering

PROOF-OF-CONCEPT: autoencoder use as pre-processing step for cytometry data clustering

cyen

Regularised variational autoencoders for compression, denoising and clustering of high-dimensional noisy data

davnovak.github.io

FlowSOM

Using self-organizing maps for visualization and interpretation of cytometry data

hidden

Hidden Markov Model (HMM) simulator for R

hloss

Jacc

Comparing clusterings using multiple matching schemes (R package)

MLCourse-AutoML

(TENTATIVE) Ghent University ML course: AutoML repo to access via Binder

my-first-binder

npe_faster

Improved version of the Neighbourhood Proportion Error

npefaster

npe_faster, but as an R package

ParetoBench

Benchmarking framework based on Pareto front concept

qctoy

Tool for testing quality control algorithms for flow data. Allows creation of synthetic flow rate and fluorescence data.

RCondaRun

Running Python code in different Anaconda environments in one R session

SAUCIE

SAUCIE (TensorFlow 2 compatible)

scattermore

very fast scatterplots for R

SingleBench

SplitScore

for metaclustering by modality (experimental)

tidycell

Framework for discovery of aberrant populations in cytometry data

tidycell_frozen

tidycell framework frozen at version 0.1.0

tviblindi

Topological and Geometrical Tools for Single-cell Data

vaevictis

Experimental combination of various ideas from deep learning for dimensional reduction nad manifold analysis