With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially. A major issue is to mine useful knowledge from these heterogeneous collections of data. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine Learning (ML), a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets, can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.
This hands-on workshop will introduce participants to the ML taxonomy and the applications of common ML algorithms to health data. The workshop will cover the foundational concepts and common methods being used to analyse omics data sets by providing a practical context through the use of basic but widely used R libraries. Participants will acquire an understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.
Learning outcomes:
By the end of the workshop you should be able to:
Understand key ML concepts, common algorithms and terminology
Understand the importance of ML in analysing complex, high-volume health-related data
Use R packages to implement an ML workflow on real-world dataset, from data preparation to model application and evaluation
Lead Trainer:
Dr Fotis Psomopoulos, Senior Researcher, Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH)
Date/Time: 9 December 2024, 1 - 5 pm AEDT / 12 - 4 pm AEST / 12:30 - 4:30 pm ACDT / 10 am - 2 pm AWST (check in your timezone)
Location: Online
Format:
This online workshop will take place over a single 4 hour session. The workshop is delivered in Carpentries style where expert trainers introduce the topic and guide you through hands-on activities to help you put your new skills into action.
Who the workshop is for:
This workshop is for Australian researchers who are or will apply ML to the analysis of omics data as part of their projects. It is suitable for beginners in ML. You must be associated with an Australian organisation for your application to be considered.
Prerequisites
No previous knowledge of ML is required or expected (please note, that this will be an introductory course to ML)
Familiarity with the R programming language. If you need a refresher on R/RStudio try the Introduction to R and RStudio section of this online tutorial
How to apply:
This workshop is free but participation is subject to application with selection.
Applications have closed.
Applications are reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our Advice on applying for Australian BioCommons workshops.
This workshop is presented by Australian BioCommons with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative.
This event is part of a series of bioinformatics training events. If you'd like to hear when registrations open for other events, please subscribe to the Australian BioCommons newsletter