paoloinglese

SPUTNIK

SPUTNIK R package

3D_DESI

MATLAB scripts for the paper "Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer"

DESI_MSI_recal

Companion code for the publication: Inglese, P., Huang, H., Wu, V., Lewis, M.R. and Takats, Z., 2021. Mass recalibration for desorption electrospray ionization mass spectrometry imaging using endogenous reference ions. biorXiv

ion_colocalization

Scripts used for the paper Inglese, P., Correia, G., Pruski, P., Glen, R. C., & Takats, Z. (2019). Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging. Analytical chemistry.

pytorch_coma

4Dsegment

Deep learning cardiac segmentation and motion tracking

4Dsegment2.0

byte_converter

Simple data units converter in PyQT5

ecgxai

Neatly packaged AI methods for explainable ECG analysis

genomicscourse

For QMUL's Genome Bioinformatics MSc module BIO721P & SIB's Spring school in bioinfo & population genomics

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

hexSticker

:sparkles: Hexagon sticker in R

HGP-SL

Hierarchical Graph Pooling with Structure Learning

M3C

Monte Carlo Reference-based Consensus Clustering

MALDIquant

Quantitative Analysis of Mass Spectrometry Data

memory-map

mutools3D-imperial

R package for Mass Univariate Analysis of 3D Phenotypes

pyimzML

A parser to read .imzML files with python

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

SPUTNIKexamples

Repository for the two data examples used in SPUTNIK R package

tut_maldiquant_msi

Tutorial preprocessing MSI using MALDIquant

ukbb_cardiac

Some code for processing and analysing UK Biobank cardiac MR images.

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

videos

Code for the manim-generated scenes used in 3blue1brown videos