Chen J
Integrative multiomics enhancer activity profiling identifies therapeutic vulnerabilities in cholangiocarcinoma of different etiologies
Objectives: Cholangiocarcinoma (CCA) is a heterogeneous malignancy with high mortality and dismal prognosis, and an urgent clinical need for new therapies. Knowledge of the CCA epigenome is largely limited to aberrant DNA methylation. Dysregulation of enhancer activities has been identified to affect carcinogenesis and leveraged for new therapies but is uninvestigated in CCA. Our aim is to identify potential therapeutic targets in different subtypes of CCA through enhancer profiling.
ReadContrastivePose: A contrastive learning approach for self-supervised feature engineering for pose estimation and behavorial classification of interacting animals
- Study of interaction behaviors in animals is a useful tool in neuroscience research. - Automated behavior analysis is enabled by machine learning using pose estimation. - Training supervised classification models faces bottleneck of manual labeling. - Contrastive learning improves model performance with unlabeled pose data.
ReadA five-safes approach to a secure and scalable genomics data repository
Genomics, Data encryption, Data storage representation
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