Will Liao

The paper maps R-loop landscapes in the developing human brain and shows their role in neural differentiation and gene expression programs.

This paper introduces an explainable boosting machine model to identify and filter variant artifacts caused by formalin-fixed paraffin embedding in cancer genomics.

This study examines enhancer dynamics and spatial organization in the human spinal cord to understand cellular state transitions and identity.

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

The paper maps 3D chromatin structures in neuronal subtypes and shows how schizophrenia risk loci reorganize during differentiation, linking regulatory loops to gene function.

The paper identifies oncogenic reactivation of young L1 transposable elements in colon cancer, showing PLZF loss drives this activity independently of cell division.

The paper identifies acetylated chromatin domains associated with dysfunction in schizophrenia and bipolar disorder by analyzing histone modifications in prefrontal cortex samples.

This study develops a method to efficiently generate dopaminergic neurons from hiPSCs and shows they model psychiatric disease risk genes.

The paper evaluates epigenetic methods using reference materials, finding high concordance between assays and differences in performance across platforms.

The paper optimizes library preparation and sequencing for whole genome bisulphite sequencing on the Illumina HiSeq X system, eliminating an artefact affecting several percent of reads.