GLEAM Multimodal Learner - HANCOCK recurrence prediction

Train and evaluate a HANCOCK recurrence model with Multimodal Learner ## Associated Tutorial This workflows is part of the tutorial [Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK](https://training.galaxyproject.org/training-material/topics/statistics/tutorials/multimodal_learner/tutorial.html), available in the [GTN](https://training.galaxyproject.org) ## Features * Includes [Galaxy Workflow Tests](https://training.galaxyproject.org/training-material/faqs/gtn/workflow_run_test.html) * Includes a [Galaxy Workflow Report](https://training.galaxyproject.org/training-material/faqs/galaxy/workflows_report_view.html) ## Thanks to... **Workflow Author(s)**: Paulo Cilas Morais Lyra Junior, Junhao Qiu, Khai Dang, Alyssa Pybus, Jeremy Goecks **Tutorial Author(s)**: [Paulo Cilas Morais Lyra Junior](https://training.galaxyproject.org/training-material/hall-of-fame/paulocilasjr/), [Khai Van Dang](https://training.galaxyproject.org/training-material/hall-of-fame/khaivandangusf2210/), [Alyssa Pybus](https://training.galaxyproject.org/training-material/hall-of-fame/afpybus/), [Junhao Qiu](https://training.galaxyproject.org/training-material/hall-of-fame/qchiujunhao/), [Jeremy Goecks](https://training.galaxyproject.org/training-material/hall-of-fame/jgoecks/) [](https://training.galaxyproject.org/training-material/)

License

https://spdx.org/licenses/AGPL-3.0-or-later

Contents

• GLEAM Multimodal Learner - HANCOCK recurrence prediction
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