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Life Science Learnathon, Cambridge
We're coming to the University of Cambridge to deliver a life sciences learnathon and we'd love you to join! We’ll access and blend data coming from a high throughput screen, remove molecules that have undesirable physicochemical properties, visualize these features, and use machine learning to predict the activity of the remaining compounds. Not sure what a learnathon is? It’s in between a hackathon and a workshop. It’s like a workshop because we’ll learn more about analyzing data, data access, data blending, interactive filtering, visualization, model training, and deployment. It’s like a hackathon because we’ll work in groups to build a workflow-based solution to guided exercises. The tool of choice for this learnathon is the open-source, GUI driven KNIME Analytics Platform. After an initial introduction to the tool and to the data, we will split in groups. Each group will focus on one of the following three aspects: Group 1: Working with the raw data. Data access and data preparation. Group 2: Guided Analytics: interactive visualization and filtering of the data. Group 3: Machine Learning. Which model shall I use? Which parameters? We will provide the data, jump-start workflows and final solutions for the proposed tasks, and of course life science experts. Please bring your own laptop with KNIME Analytics Platform pre-installed. To install KNIME Analytics Platform, follow the instructions provided in these YouTube videos: Windows (https://www.youtube.com/watch?v=yeHblDxakLk&feature=youtu.be) Mac (https://www.youtube.com/watch?v=1jvRWryJ220&feature=youtu.be) Linux (https://www.youtube.com/watch?v=wibggQYr4ZA&feature=youtu.be) Please also download the workshop material (https://www.dropbox.com/s/193mukkty1nzexr/Exercises.knar?dl=0) (jump-start workflows and instructions). We will import this material during the learnathon. If you would like to get familiar with KNIME Analytics Platform, you can explore the content of our E-learning course (https://www.knime.com/knime-introductory-course). Agenda 15:00 – 15:30: Introduction to KNIME Analytics Platform 15:30 – 16:00: Presentation of data sets and tasks, plus group formation 16:00 – 18:30: Let’s work & learn! Food and drinks will be available throughout the event.

Department of Chemistry, BMS Lecture Theatre (Entrance on Scott Polar Institute/East Side)

University of Cambridge, Lensfield Road · Cambridge

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    What we're about

    Public Group

    The KNIME User Group UK has the purpose of promoting the awareness, use and adoption of KNIME, the open source predictive analytics platform from www.knime.org. Membership and meetup attendance is open to all KNIME users, those interested in KNIME, as well as those interested in extending their analytics capability. The aim is to hold meetups where real-life experiences of using KNIME are aired, new developments in KNIME are explained with some deep dives into KNIME capabilities. As an open analytics platform, KNIME can work with R, WEKA and many other tools - the interoperability of KNIME will also be covered. The objective is to build a connected community of KNIME users and all those interested in analytics. Join up, and find out who else is interested in KNIME. Meetups will initially be held in London. If there is enough interest, we hope to have additional meetups in other parts of the UK. If you have a story around KNIME or analytics - please contact us.

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