eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
GitHub

PCA for hidden variable inference in QTL mapping

We start with the fully processed molecular phenotype matrix. In this tutorial, we use the fully processed gene expression matrix for Colon - Transverse from GTEx V8 (2020) as an example. In GTEx’s ...
Imperial College London

Hands-on Data Analysis for Metabolomics

This 5 day course provides a comprehensive overview of data analysis for metabolomics studies focusing on data from NMR spectroscopy and Liquid Chromatography-Mass Spectrometry. It combines lectures ...
GitHub

Codebase for "Time-series Generative Adversarial Networks (TimeGAN)"

Reference: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar, "Time-series Generative Adversarial Networks," Neural Information Processing Systems (NeurIPS), 2019 ...
Queen Mary University of London

School of Electronic Engineering and Computer Science

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.
IEEE

Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6488907 ...
www.cs.cmu.edu

Machine Learning

This is a tentative schedule and is subject to change. Please note that Youtube takes some time to process videos before they become available.