Training materials
Difficulty level: Beginner
and Contributors: Martin Čech
and Related resources: Associated Training Datasets
51 materials found
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slides
Fine-tuning Protein Language Model
• beginnerStatistics and probability Statistics and machine learning -
slides
Introduction to Machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
GO Enrichment Analysis on Single-Cell RNA-Seq Data
• beginnerGO enrichment Single Cell single cell -
e-learning
RNA Seq Counts to Viz in R
• beginnerTranscriptomics interactive-tools -
e-learning
Fine tune large protein model (ProtTrans) using HuggingFace
• beginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning -
e-learning
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools -
e-learning
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
e-learning
Filter, plot and explore single-cell RNA-seq data with Scanpy
• beginnerMIGHTS Single Cell paper-replication -
e-learning
Inferring single cell trajectories with Scanpy (Python)
• beginnerMIGHTS Single Cell jupyter-notebook paper-replication -
e-learning
Label-free versus Labelled - How to Choose Your Quantitation Method
• beginnerProteomics DDA