Training materials
Scientific topics: Single-cell genomics
and Keywords: Python
and Authors: SIB Swiss Institute of Bioinformatics
1 material found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Single-cell genomics
- Python2
- Python program2
- Python script2
- py2
- Active learning1
- Bayesian methods1
- Biostatistics1
- Chromosome walking1
- Clone verification1
- Comparative transcriptomics1
- DNA-Seq1
- DNase-Seq1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- High throughput sequencing1
- High-throughput sequencing1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- MicroRNA sequencing1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Probabilistic graphical model1
- Probability1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Recommender system1
- Reinforcement learning1
- Sanger sequencing1
- Sequencing1
- Single-cell sequencing1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Targeted next-generation sequencing panels1
- Transcriptome1
- Transcriptome profiling1
- Transcriptomics1
- Unsupervised learning1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
- Show archived materials
