Koy Chong Ng Kee Kwong

Learning complex temporal dependencies via local synaptic plasticity

This paper investigates temporal predictive coding (tPC) as a framework for learning temporal dependencies in recurrent neural networks, showing its equivalence to BPTT variants and its ability to handle complex tasks with local plasticity.

Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural network

Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics

This study uses supervised and unsupervised deep learning to analyze DNA replication dynamics in mouse cells, identifying altered patterns in Rif1-deficient cells and extending to patient samples.

Dual site proteomic analyses reveal potential drug targets for cardiovascular disease

This paper uses Mendelian randomisation to identify potential drug targets for cardiovascular disease by analysing protein levels in plasma and PBMCs from large cohorts.