MOOCs
I have developed MOOCs for deep learning applied to genomics, in particular large language models for DNA and convolutional neural networks for DNA.
LLM for genomics
Large language models for DNA: pretraining, finetuning, mutation effect prediction, DNA sequence generation.
Link to the MOOC: https://github.com/raphaelmourad/LLM-for-genomics-training
CNN for genomics
Convolutional neural networks, recurrent networks and transformers (large language models) for genomics and genetics.
Link to the MOOC: https://github.com/raphaelmourad/CNN-for-genomics-training
Teaching with students
I teach bioinformatics, biostatistics, machine learning and genetics at Master's and PhD's levels at University of Toulouse III, Paul Sabatier.
LLM for genomics
PhD students, researchers and engineers (Biostat plateform).
Large language models for DNA: pretraining, finetuning, mutation effect prediction, DNA sequence generation.
Deep learning for genomics
ENSAT students.
Convolutional neural networks, recurrent networks and transformers (large language models) for genomics and genetics.
Bioinformatics for genomics
Master bioinformatics student.
Data science and bioinformatics for RNA-seq, genome assembly, SNPs, small RNA-seq.
Biostatistics
Master biology students and Master ecology students.
Statistical tests, ANOVA, regression, generalized linear model, PCA.
GWAS
Master biology students.
Human genetics, GWAS, SNP, linkage disequilibrium, haplotypes.