Training materials
Difficulty level: Intermediate
and Target audience: PhD students
and Scientific topics: Neural networks
2 materials found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Neural networks
- Active learning2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Bayesian methods1
- Biostatistics1
- Bottom-up proteomics1
- Descriptive statistics1
- Discovery proteomics1
- Gaussian processes1
- Inferential statistics1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Markov processes1
- Metaproteomics1
- MicroRNA sequencing1
- Multivariate statistics1
- Omics1
- Peptide identification1
- Probabilistic graphical model1
- Probability1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Rare diseases1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Targeted proteomics1
- Top-down proteomics1
- Transcriptome profiling1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
- Show N_FILTERS more
-
-
-
Difficulty level
- Intermediate
- Not specified1
- Show N_FILTERS more
-
-
-
Resource type
- Video2
- Show N_FILTERS more
-
- Show archived materials
