Pinned Repositories
ATtiny85_RaspberryPi
Code for the ATtiny85 and for programming via the Raspberry Pi
CanaryCareDataAnalysis
Some R code to analyse data from a Canary Care home monitoring system
ChristmasCountdown
COINPaperFigures
R Code used to generate the figures for the COIN paper (2019)
CytoPb
For multiplexed imaging (IF, IMC, ...), use of overlap signals to generate cell type maps and interaction signatures.
raspi-gpio
Py scripts from my Raspberry Pi to do stuff via the GPIO
paulbarber's Repositories
paulbarber/raspi-gpio
Py scripts from my Raspberry Pi to do stuff via the GPIO
paulbarber/ATtiny85_RaspberryPi
Code for the ATtiny85 and for programming via the Raspberry Pi
paulbarber/CanaryCareDataAnalysis
Some R code to analyse data from a Canary Care home monitoring system
paulbarber/ChristmasCountdown
paulbarber/COINPaperFigures
R Code used to generate the figures for the COIN paper (2019)
paulbarber/CytoPb
For multiplexed imaging (IF, IMC, ...), use of overlap signals to generate cell type maps and interaction signatures.
paulbarber/FLIM-CUDA-Primatives
Operations on fluorescence lifetime imaging (FLIM) data performed on a GPU using CUDA.
paulbarber/genefu
R package providing various functions relevant for gene expression analysis with emphasis on breast cancer.
paulbarber/horse_game
Horse Race Betting Game in Python 3
paulbarber/image-segmentation-keras
Implementation of Segnet, FCN, UNet and other models in Keras.
paulbarber/imagej.github.io
GitHub Pages for ImageJ
paulbarber/ImcPluginsCP
CellProfiler plugins for multiplexed image analysis
paulbarber/ImcSegmentationPipeline
A pixelclassification based multiplexed image segmentation pipeline
paulbarber/imctools
Tools to handle IMC data
paulbarber/jooh.github.io
website
paulbarber/libics
Image Cytometry Standard file reading and writing.
paulbarber/libicsR
Use of the libics library from R.
paulbarber/Marker_Distribution
“Novel Marker Distribution Pipeline for Analysis of Cell Based Quantitative Spatial Information”. The aim of this research was to analyse quantitative spatial information and provide intuitive visualisation relating to the identification of cells relative to tissue structure and pathology such as cancer tumour.
paulbarber/msaWrapper
This package unifies the exploration and use of multivariate survival analysis methods for time to event and ordinal class data.
paulbarber/synergyfinder