Registration open for the ML4Microbiome Training School 2021
The ML4Microbiome Training School 2021 will be held virtually on 27-28 September & 4-7-8 October 2021!
Visit the Training school webpage, look at the programme and register. Registration is free and open to everybody who is interested…
ML4Microbiome ONLINE WORKSHOP – 15 October 2021 | 12:00-16:00 (CEST)
ML4Microbiome organises a WORKSHOP on Statistical and Machine Learning Techniques for Microbiome Data Analysis on 15 October 2021 | 12:00-16:00 (CEST) as part of the EMBnet & GOBLET Annual General Meeting 2021.
Registration Open!
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COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and
enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation (COST | European Cooperation in Science and Technology)
Address
Grant holder institution:
(GH Manager: Dr Anna Power)
Biosciences Institute,
University College Cork,
Western road,
Cork, Ireland,
T12 YT20.
The Programme of the GOBLET & EMBnet AGM 2021 including ML4Microbiome events is ready and available here
We are delighted to announce the programme of the EMBnet & GOBLET Annual General Meeting 2021, including the ML4Microbiome Symposium “Grand Challenges of Data-Intensive Science in microbiome & metagenome data analysis and training” and the “Workshop on Statistical and Machine Learning Techniques for Microbiome Data Analysis” (respectively October 14th-15th, 2021).
Rooms for registration are still available up to October 8th.
Registration form
Full Programme
Marcus Claesson presenting “The microbiome of inflammatory bowel disease” at the Front Line Genomics Webinar 3
Registration open for the ML4Microbiome Training School 2021
The ML4Microbiome Training School 2021 will be held virtually on 27-28 September & 4-7-8 October 2021!
Visit the Training school webpage, look at the programme and register. Registration is free and open to everybody who is interested in learning about Machine Learning applied to the analysis of microbiome data.
Topics
Microbiome biology
Microbiome sampling & wet-lab basics, study design
Metagenomic data analysis for human gut microbiota: statistical specificity of microbiome data
Statistical analysis of microbiome data
Compositional data analysis
Machine learning: basic concepts
Avoiding compositionality and absolute abundance profiling
Discussion on rarefying, clustering and data transformation (alr/clr/ilr)
Unsupervised learning: Basic approaches
Supervised machine learning: Methods and Model Quality Assessment
Hands-on sessions on Unsupervised & Supervised Machine Learning