Assessing the performance of next-generation sequencing techniques in accurate genome/epigenome/transcriptome profiling and understanding the clinical and functional role of epigenome heterogeneity in the cancer evolution.
My research interest is to understand the inner workings of cancer cells – the genetic and epigenetic heterogeneity that drive cancer initiation and progression. We utilize computational algorithms and multi-omics methodologies to identify and characterize the essential epigenetic lesions that guide cancer cells to evolve and escape anti-cancer therapy. The ultimate goal is to develop novel methods to predict and address tumor evolution.
Computational Oncology studies that integrate clinical, genomic, and imaging data to explore the dynamics of tumor heterogeneity and...
Modeling of transcription and its variation with extrinsic or intrinsic triggers.
Leveraging genetic diversity and computational techniques to investigate the architecture of complex traits
The role of extrachromasomal DNA in brain tumors
I am interested in applying machine learning and advanced statistical modelling into biological questions.
Applies data integration and machine learning to advance the frontiers of cancer epigenomics and evolution.
I am passionate about supporting research and discovery through effective project management and operations
Machine learning platforms can be fed data to "teach" them to learn patterns and predict outcomes, and they are becoming...
I am interested in epigenetic pattern recognition of cancer, biomedical big data mining, next-generation sequencing data pattern mining and...
Enabling the development of novel therapies for serious illnesses.
I am PostDoc working with Prof Li at JAX, Farmington. I have a background in computer science, and shifted my interests...
A JAX team developed CUP-AI-Dx, a machine learning tool that uses RNA sequence data for analysis. The researchers show that...
The Cheng lab develops technologies based on artificial DNA and RNA binding proteins and applies them to sense or induce sequence or...
The Lee Lab studies structural genomic variation in human biology, evolution and disease.
The study of structural genomic variation in human biology, evolution and disease
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