Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Cancer Genomics and Diagnostics, Ovarian cancer diagnosis and treatment, Gene expression and cancer classification, and Bioinformatics and Genomic Networks.
Deciphering selection patterns of somatic copy-number events
WNT-driven chromosomal instability as a biomarker for PORCN inhibition
A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data
Biomarker risk stratification with capsule sponge in the surveillance of Barrett's oesophagus: prospective evaluation of UK real-world implementation
Predicting resistance to chemotherapy using chromosomal instability signatures
Predicting resistance to chemotherapy using chromosomal instability signatures.
Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation
Clinical decision tree for optimizing endoscopic assessment of signet ring cell carcinoma in hereditary diffuse gastric cancer surveillance
A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures
The tumor microenvironment of 14,837 breast cancers is associated with clinical outcome independently of genomic subtypes
All models are wrong and yours are useless: making clinical prediction models impactful for patients
All models are wrong and yours are useless: making clinical prediction models impactful for patients.
Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk
Genomic reproducibility in the bioinformatics era.
scAbsolute: measuring single-cell ploidy and replication status
scAbsolute: measuring single-cell ploidy and replication status.
Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction
A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures
A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures
A Dirichlet-multinomial mixed model for detecting differential abundance of mutational signatures
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer
The copy number and mutational landscape of recurrent ovarian high-grade serous carcinoma.
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer.
High-grade serous ovarian carcinoma organoids as models of chromosomal instability
High-grade serous ovarian carcinoma organoids as models of chromosomal instability.
SliDL: A toolbox for processing whole-slide images in deep learning
Author Correction: The evolutionary history of 2,658 cancers
Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
Author Correction: Patterns of somatic structural variation in human cancer genomes
Author Correction: Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition