Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Cancer Genomics and Diagnostics, Lung Cancer Treatments and Mutations, Bioinformatics and Genomic Networks, and Radiomics and Machine Learning in Medical Imaging.
Tamoxifen induces PI3K activation in uterine cancer
Automated real-world data integration improves cancer outcome prediction
Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal
Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
Ovarian cancer mutational processes drive site-specific immune evasion
MITI minimum information guidelines for highly multiplexed tissue images
Genome Nexus: A Comprehensive Resource for the Annotation and Interpretation of Genomic Variants in Cancer
OncoTree: A Cancer Classification System for Precision Oncology
CD38 in Advanced Prostate Cancers
A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
Multiomic Integration of Public Oncology Databases in Bioconductor
Integration and Analysis of CPTAC Proteomics Data in the Context of Cancer Genomics in the cBioPortal
The long tail of oncogenic drivers in prostate cancer
Systematic Functional Annotation of Somatic Mutations in Cancer
Unifying cancer and normal RNA sequencing data from different sources
A phase II study of frontline paclitaxel/carboplatin/bevacizumab, paclitaxel/carboplatin/temsirolimus, or ixabepilone/carboplatin/bevacizumab in advanced/recurrent endometrial cancer
Accelerating Discovery of Functional Mutant Alleles in Cancer
Genetic Predictors of Response to Systemic Therapy in Esophagogastric Cancer
3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets
Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework
Deletions linked to TP53 loss drive cancer through p53-independent mechanisms
Integrative Clinical Genomics of Advanced Prostate Cancer
Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer
Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity
MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer
Comprehensive molecular characterization of gastric adenocarcinoma
BioJava: an open-source framework for bioinformatics in 2012