Now @mireiavallesc.bsky.social presenting microbiome transmission at the #BCNmicrobiome

Heading to Vienna this weekend! 🇦🇹

Thrilled to be talking about ML in bacterial genomics & #metagenomics at #ESCMIDGlobal 2025.
📍 Hall 4
📅 Monday (14/04)
⏰ 16:15 CEST

Come say hi if you're around! #bioinformatics #microbiome
cc @escmid.bsky.social

Ciao @mikeneugent.bsky.social from the both us! (unfortunately mine is from the vending machine, the fastest one I could get here!)

Fantastic event in Goiania! Beautiful audience and nice people! Had a great time, thanks Joao for the invitation and all the organizers for the organization!

Be careful of overfitting, feature selection and testing within the same data, which could lead to overoptimistic within-dataset and poor performances cross-cohorts.

5/6

Several strategies are available to accurately estimate ML performances and depend and the data/cohorts availability.

4/6

Dimensionality reduction and clustering are two of the most used algorithms in microbiology, and different algorithms will have different results and visualization of high-dimensional data is also a non-easy task.

3/6

A ML workflow involves many small details: difficult to represent in a simplified schema as most are also algorithm-dependent. However, having a clear idea about the process can better help understand how several steps (samples, features, training, prediction) connect.

2/6