Training materials
Difficulty level: Not specified
and Scientific topics: Probabilistic graphical model
and Licence: GNU General Public License v3.0 only
3 materials found
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Scientific topic
- Probabilistic graphical model
- MicroRNA sequencing6
- RNA sequencing6
- RNA-Seq6
- RNA-Seq analysis6
- Small RNA sequencing6
- Small RNA-Seq6
- Small-Seq6
- Transcriptome profiling6
- WTSS6
- Whole transcriptome shotgun sequencing6
- miRNA-seq6
- Chromosome walking5
- Clone verification5
- Comparative transcriptomics5
- DNA-Seq5
- DNase-Seq5
- High throughput sequencing5
- High-throughput sequencing5
- NGS5
- NGS data analysis5
- Next gen sequencing5
- Next generation sequencing5
- Panels5
- Primer walking5
- R5
- R program5
- R script5
- Sanger sequencing5
- Sequencing5
- Targeted next-generation sequencing panels5
- Transcriptome5
- Transcriptomics5
- Exomes4
- Genome annotation4
- Genomes4
- Genomics4
- Personal genomics4
- Synthetic genomics4
- Viral genomics4
- Whole genomes4
- Bayesian methods3
- Biostatistics3
- Descriptive statistics3
- Gaussian processes3
- Inferential statistics3
- Markov processes3
- Multivariate statistics3
- Probability3
- Statistics3
- Statistics and probability3
- Variant pattern analysis3
- Data rendering2
- Data visualisation2
- Active learning1
- Breakend assembly1
- ChIP-exo1
- ChIP-seq1
- ChIP-sequencing1
- Chip Seq1
- Chip sequencing1
- Chip-sequencing1
- Enrichment1
- Enrichment analysis1
- Ensembl learning1
- Functional enrichment1
- Functional genome annotation1
- Genome assembly1
- Genomic assembly1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Metagenome annotation1
- Neural networks1
- Over-representation analysis1
- Pipelines1
- R markdown1
- Recommender system1
- Reinforcement learning1
- Sequence assembly (genome assembly)1
- Single-cell genomics1
- Single-cell sequencing1
- Software integration1
- Structural genome annotation1
- Supervised learning1
- Tool integration1
- Tool interoperability1
- Unsupervised learning1
- Workflows1
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- Glittr.org3
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