Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Cancer Genomics and Diagnostics, RNA Research and Splicing, RNA modifications and cancer, and Radiomics and Machine Learning in Medical Imaging.
A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function
Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in Black American and White American patients with TNBC
CisBP-RNA: a web resource for eukaryotic RNA-binding proteins and their motifs
Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data
Orthrus: Towards Evolutionary and Functional RNA Foundation Models
Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction
RNA-binding proteins that lack canonical RNA-binding domains are rarely sequence-specific
SON is an essential m6A target for hematopoietic stem cell fate
Activating mTOR Mutations Are Detrimental in Nutrient-Poor Conditions
Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Author Correction: Inferring structural variant cancer cell fraction
Author Correction: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
A practical guide to cancer subclonal reconstruction from DNA sequencing
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Relapse-Fated Latent Diagnosis Subclones in Acute B Lineage Leukemia Are Drug Tolerant and Possess Distinct Metabolic Programs
A community effort to create standards for evaluating tumor subclonal reconstruction
Inferring structural variant cancer cell fraction
Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Characterizing Genetic Intra-Tumor Heterogeneity Across 2,658 Human Cancer Genomes
High-Density Proximity Mapping Reveals the Subcellular Organization of mRNA-Associated Granules and Bodies
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
Loss of miR-204 expression is a key event in melanoma
Abstract 3000: Pervasive intra-tumour heterogeneity and subclonal selection across cancer types
Abstract 218: The evolutionary history of 2,658 cancers
The evolutionary history of 2,658 cancers
An RRM–ZnF RNA recognition module targets RBM10 to exonic sequences to promote exon exclusion