Area of research
Molecular Biology · Oncology
Research interest
Research interests include Cancer Immunotherapy and Biomarkers, Immune cells in cancer, Cell Image Analysis Techniques, and Single-cell and spatial transcriptomics.
Tumor cell-adipocyte gap junctions activate lipolysis and contribute to breast tumorigenesis
Exhausted intratumoral Vδ2− γδ T cells in human kidney cancer retain effector function
CNS fibroblasts form a fibrotic scar in response to immune cell infiltration
Molecular programs of fibrotic change in aging human lung
Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer
Cell-Type Enrichment Analysis of Bulk Transcriptomes Using xCell
VP36.05: A novel machine learning model optimises the use of Caesarean for prevention of shoulder dystocia in large‐for‐gestational‐age fetuses
Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage
Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types
CD161 contributes to prenatal immune suppression of IFN-γ–producing PLZF+ T cells
Heterogeneity in HIV and cellular transcription profiles in cell line models of latent and productive infection: implications for HIV latency
Development and validation of a machine‐learning model for prediction of shoulder dystocia
657: Improving the prediction of shoulder dystocia using artificial intelligence – a novel approach
xCell: digitally portraying the tissue cellular heterogeneity landscape
Comprehensive analysis of normal adjacent to tumor transcriptomes
Precision annotation of digital samples in NCBI’s gene expression omnibus
Cancer Cell–Autonomous Parainflammation Mimics Immune Cell Infiltration
Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues
Widespread parainflammation in human cancer
Systematic pan-cancer analysis of tumour purity
DNA methylation of distal regulatory sites characterizes dysregulation of cancer genes
DNA Methylation of Transcriptional Enhancers and Cancer Predisposition
Aging is associated with highly defined epigenetic changes in the human epidermis
Unmasking risk loci: <scp>DNA</scp> methylation illuminates the biology of cancer predisposition