Tiak Ju Tan

Rakaia: interactive discovery of spatial biology at scale

Rakaia enables interactive exploration of spatial biology data through a browser-based platform, identifying cell types in non-malignant human breast tissue.

Integrated spatial proteomics of human PDAC uncovers an expanded tumour-immune-stroma spectrum with genomic associations

This study integrates spatial proteomics and genomics in PDAC to identify tumour-immune-stroma interactions and their genomic associations, showing multi-omics models improve patient survival prediction.

Learning copy number dependent variation in single tumour cell transcriptomes with deep generative models

The paper introduces ISOMERIC, a deep learning framework to separate copy number-dependent and independent variation in single-cell transcriptomes, showing distinct associations with clinical subtypes and tumour microenvironment phenotypes.

Multi-modal Disentanglement of Spatial Transcriptomics and Histopathology Imaging

This paper introduces SpatialDIVA, a method to disentangle spatial transcriptomics and histopathology imaging data, showing it outperforms baselines in variation separation and batch effect removal.

Exome sequencing in Asian populations identifies rare deficient SMPD1 alleles that increase risk of Parkinson's disease

The paper identifies rare SMPD1 variants in Asian populations that increase Parkinson's disease risk through exome sequencing and functional assays.