About this Event
Lead Instructors: Eva Wang (MIG)
Batch effects refer to sources of unwanted variation that are not related to and obscure any factors of interest. Handling batch effects is a necessary step to improve the reproducibility and replicability of research studies. Methods developed for batch-effects make strong assumption on data characteristics and types of batch effects.
This workshop will introduce commonly encountered sources of batch effects through illustrative case studies. We will discuss suitable applications and limitations of existing methods, and provide practical guidelines for data preprocessing, batch-effect detection and management, and evaluating the effectiveness of methods through visual and numerical approaches. Our examples will be based on microbiome data, but the concepts presented during the workshop are relevant to any type of omics data.
Pre-requisite:
· R programming
· “Introduction to experimental designs”
· “The workhorse for data analysis- linear models”
Please note, $25 booking fee is fully refunded upon workshop attendance.
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Workshop Registration Cancellation Policy
To secure your spot in a workshop, we require a nominal fee, which will be fully refunded upon your attendance at the workshop. This policy helps ensure commitment and allows us to manage resources effectively.
Cancellations Made in Advance: If you need to cancel your registration, you must notify us at least 72 hours before the workshop start time. In such cases, the nominal fee will be fully refunded. Refunds will happen within one week of the event.
No-Show Policy: If you do not attend the workshop and have not cancelled in advance, the nominal fee will be retained and will not be refunded.
Late Cancellations: Cancellations made less than 72 hours before the workshop will be treated as a no-show, and the nominal fee will not be refunded.
Illness or Exceptional Circumstances: Cancellations due to illness or exceptional circumstances will be considered on a case-by-case basis, and refunds will be provided at MIG's discretion.
This policy ensures fairness to all participants and helps us plan workshops efficiently. Thank you for your understanding.
If you have any questions or need assistance with your registration, please contact us at
Event Venue & Nearby Stays
The Florey Institute of Neuroscience and Mental Health, 30 Royal Parade, Parkville, Australia
AUD 27.78
