-
Recent Posts
Recent Comments
Archives
- June 2024
- May 2024
- October 2023
- March 2023
- January 2023
- August 2022
- November 2021
- September 2021
- June 2021
- May 2021
- March 2020
- September 2019
- April 2019
- February 2019
- January 2019
- October 2018
- June 2018
- April 2018
- March 2018
- February 2018
- November 2017
- October 2017
- September 2017
- August 2017
- June 2017
- May 2017
- February 2017
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- March 2016
- November 2015
- September 2015
- August 2015
- July 2015
- May 2015
- April 2015
- November 2014
- October 2014
- September 2014
- August 2014
- June 2014
- October 2013
- February 2013
- May 2012
- April 2012
- August 2011
- June 2011
- March 2011
- November 2010
- September 2010
- August 2010
- May 2010
- December 2009
Categories
Meta
Category Archives: News
[open] Self-paced online course Oct 21 – Dec 6 2024
Feedback from a previous iteration can be found here. Key summary The new course is open and will run for 7 weeks. This course is online, but at your own pace, meaning that you need to dedicate enough time (5-8h per week) to fully … Continue reading
Microbial network inference for longitudinal microbiome studies with LUPINE
Our latest method based on PLS to infer microbial networks across time is now in preprint! LUPINE is a PLS-based method that combines dimension reduction, and partial correlations to infer associations between taxa. LUPINE takes into account information across time … Continue reading
Posted in Methods, News, Publications
Comments Off on Microbial network inference for longitudinal microbiome studies with LUPINE
[closed] Self-paced online course Feb 5 – March 22 2024
This workshop is now closed. Fill in this short survey to register your interest. A new iteration of the course might be run between Sept – Nov if there is sufficient interest! Key summary The new course is open and … Continue reading
[closed] Self-paced online course May 22 – July 7 2023
If you’ve missed out, our next iteration will run from 19th Feb – 5th April 2024. You can fill up this short survey to be notified when we open our next course. Some feedback from 2023 Summary The new course … Continue reading
Posted in Workshop
Comments Off on [closed] Self-paced online course May 22 – July 7 2023
[closed] 13-14 March 2023, Brisbane, Aus
We will be running a 2-day workshop at Frazer Institute, University of Queendland. The workshop will cover 1.5 days of lectures and hands-on, and an additional 0.5 day for discussions and opportunities to analyse your own data (assuming the data … Continue reading
[Closed] Self-paced online course Oct 31st – Nov 27 2022
The next iteration of the course will be in September 2023 for a likely duration of 6-8 weeks (it will be advertised 3 months before opening the course). This course is online, but at your own pace, meaning that you … Continue reading
Our book is out!
We are excited to announce that our book is out, along with several case studies and R scripts available online. Check out this page. It’s been a very (very) long term project, and a great collaboration with Zoe Welham whose … Continue reading
Posted in News, Publications, Updates
Comments Off on Our book is out!
[Closed] Self paced online course Oct 11 – Nov 7 2021
Our next round of online learning will be 31st October 2022! Some feedback from this course: Overall, this was a great course to take and I wish there would be more stats courses for biologists. Kim Anh is truly an … Continue reading
[cancelled] 26-29 Oct 2021, Palmerston North, NZ (beginner)
Unfortunately the workshop planned face to face on 28-30 June 2021 will not go ahead because of a Melbourne lockdown that threatens the NZ bubble. Anticipated new dates are 26-29 October. For those who responded to our survey, we have … Continue reading
Posted in Workshop
Comments Off on [cancelled] 26-29 Oct 2021, Palmerston North, NZ (beginner)
12-13 March, Advanced workshop, L’Oréal headquarters
We ran an advanced workshop to l’Oréal statistics team about mixOmics as well new modules external to the package (which call mixOMics).