This is a Meetup geared toward the exploration of computational cancer research. We will not adhere to a formal academic model, where presentations focus on scientific results. Instead we will survey the landscape of open questions in the field and discuss the utility of existing models, libraries, databases, etc. in solving the biological mysteries. Key topics of interest include machine learning methods, high throughput sequencing, clinical data mining, tumor evolution, drug response prediction, and many more.

Presentations are encouraged from our own members, though outside speakers are also invited to speak. All presentations and code are freely available through: https://github.com/NYC-OPCCR

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