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BayesRx Group

New Organization Page for the Bayesrx Group! (email Veera for access)

BayesRx Group

We are a group of biostatisticians and data scientists, working at the intersection of statistics, biology and medicine. Our research explores the potential of Bayesian probabilistic models and machine learning methods to assist in medical and health sciences. These methods are motivated by large and complex datasets such as high-throughput genomics, epigenomics, transcriptomics and proteomics as well as high-resolution neuro- and cancer- imaging. A special focus is on developing integrative models combining different sources of data for biomarker discovery and clinical prediction to aid precision/translational medicine.

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  1. SpaceX SpaceX Public

    SpaceX: Gene Co-expression Network Estimation for Spatial Transcriptomics

    R 20 2

  2. GraphR GraphR Public

    GraphR: a probabilistic modeling framework for genomic networks incorporating sample heterogeneity.

    R 2

  3. Software Software Public

    R 1 3

  4. bayesrx.github.io bayesrx.github.io Public

    HTML 1

  5. TransPRECISE TransPRECISE Public

    Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome

    HTML 1 1

  6. RxTree RxTree Public

    R 1 1

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